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Operations Management Case Studies

A Background Note on "Unskilled" Jobs in the United States - Past, Present, and Future

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Walmart’s Operations Management: 10 Strategic Decisions & Productivity

Walmart 10 decisions of operations management, strategic decision areas, productivity measures, retail business case study analysis

Walmart Inc.’s operations management involves a variety of approaches that are focused on managing the supply chain and inventory, as well as sales performance. The company’s success is significantly based on effective performance in retail operations management. Specifically, Walmart’s management covers all the 10 decision areas of operations management. These strategic decision areas pertain to the issues managers deal with on a daily basis as they optimize the e-commerce company’s operations. Walmart’s application of the 10 decisions of operations management reflects managers’ prioritization of business objectives. In turn, this prioritization shows the strategic significance of the different decision areas of operations management in the retail company’s business. This approach to operations aligns with Walmart’s corporate mission statement and corporate vision statement . The retail enterprise is a business case of how to achieve high efficiency in operations to ensure long-term growth and success in the global market.

The 10 decisions of operations management are effectively addressed in Walmart’s business through a combination of approaches that emphasize supply chain management, inventory management, and sales and marketing. This approach leads to strategies that strengthen the business against competitors, like Amazon and its subsidiary, Whole Foods , as well as Home Depot , eBay, Costco , Best Buy, Macy’s, Kroger, Alibaba, IKEA, Target, and Lowe’s.

The 10 Strategic Decision Areas of Operations Management at Walmart

1. Design of Goods and Services . This decision area of operations management involves the strategic characterization of the retail company’s products. In this case, the decision area covers Walmart’s goods and services. As a retailer, the company offers retail services. However, Walmart also has its own brands of goods, such as Great Value and Sam’s Choice. The company’s operations management addresses the design of retail service by emphasizing the variables of efficiency and cost-effectiveness. Walmart’s generic strategy for competitive advantage, and intensive growth strategies emphasize low costs and low selling prices. To fulfill these strategies, the firm focuses on maximum efficiency of its retail service operations. To address the design of goods in this decision area of operations management, Walmart emphasizes minimal production costs, especially for the Great Value brand. The firm’s consumer goods are designed in a way that they are easy to mass-produce. The strategic approach in this operations management area affects Walmart’s marketing mix or 4Ps and the corporation’s strategic planning for product development and retail service expansion.

2. Quality Management . Walmart approaches this decision area of operations management through three tiers of quality standards. The lowest tier specifies the minimum quality expectations of the majority of buyers. Walmart keeps this tier for most of its brands, such as Great Value. The middle tier specifies market average quality for low-cost retailers. This tier is used for some products, as well as for the job performance targets of Walmart employees, especially sales personnel. The highest tier specifies quality levels that exceed market averages in the retail industry. This tier is applied to only a minority of Walmart’s outputs, such as goods under the Sam’s Choice brand. This three-tier approach satisfies quality management objectives in the strategic decision areas of operations management throughout the retail business organization. Appropriate quality measures also contribute to the strengths identified in the SWOT analysis of Walmart Inc .

3. Process and Capacity Design . In this strategic decision area, Walmart’s operations management utilizes behavioral analysis, forecasting, and continuous monitoring. Behavioral analysis of customers and employees, such as in the brick-and-mortar stores and e-commerce operations, serves as basis for the company’s process and capacity design for optimizing space, personnel, and equipment. Forecasting is the basis for Walmart’s ever-changing capacity design for human resources. The company’s HR process and capacity design evolves as the retail business grows. Also, to satisfy concerns in this decision area of operations management, Walmart uses continuous monitoring of store capacities to inform corporate managers in keeping or changing current capacity designs.

4. Location Strategy . This decision area of operations management emphasizes efficiency of movement of materials, human resources, and business information throughout the retail organization. In this regard, Walmart’s location strategy includes stores located in or near urban centers and consumer population clusters. The company aims to maximize market reach and accessibility for consumers. Materials and goods are made available to Walmart’s employees and target customers through strategic warehouse locations. On the other hand, to address the business information aspect of this decision area of operations management, Walmart uses Internet technology and related computing systems and networks. The company has a comprehensive set of online information systems for real-time reports and monitoring that support managing individual retail stores as well as regional market operations.

5. Layout Design and Strategy . Walmart addresses this decision area of operations management by assessing shoppers’ and employees’ behaviors for the layout design of its brick-and-mortar stores, e-commerce websites, and warehouses or storage facilities. The layout design of the stores is based on consumer behavioral analysis and corporate standards. For example, Walmart’s placement of some goods in certain areas of its stores, such as near the entrance/exit, maximizes purchase likelihood. On the other hand, the layout design and strategy for the company’s warehouses are based on the need to rapidly move goods across the supply chain to the stores. Walmart’s warehouses maximize utilization and efficiency of space for the company’s trucks, suppliers’ trucks, and goods. With efficiency, cost-effectiveness, and cost-minimization, the retail company satisfies the needs in this strategic decision area of operations management.

6. Human Resources and Job Design . Walmart’s human resource management strategies involve continuous recruitment. The retail business suffers from relatively high turnover partly because of low wages, which relate to the cost-leadership generic strategy. Nonetheless, continuous recruitment addresses this strategic decision area of operations management, while maintaining Walmart’s organizational structure and corporate culture . Also, the company maintains standardized job processes, especially for positions in its stores. Walmart’s training programs support the need for standardization for the service quality standards of the business. Thus, the company satisfies concerns in this decision area of operations management despite high turnover.

7. Supply Chain Management . Walmart’s bargaining power over suppliers successfully addresses this decision area of operations management. The retailer’s supply chain is comprehensively integrated with advanced information technology, which enhances such bargaining power. For example, supply chain management information systems are directly linked to Walmart’s ability to minimize costs of operations. These systems enable managers and vendors to collaborate in deciding when to move certain amounts of merchandise across the supply chain. This condition utilizes business competitiveness with regard to competitive advantage, as shown in the Porter’s Five Forces analysis of Walmart Inc . As one of the biggest retailers in the world, the company wields its strong bargaining power to impose its demands on suppliers, as a way to address supply chain management issues in this strategic decision area of operations management. Nonetheless, considering Walmart’s stakeholders and corporate social responsibility strategy , the company balances business needs and the needs of suppliers, who are a major stakeholder group.

8. Inventory Management . In this decision area of operations management, Walmart focuses on the vendor-managed inventory model and just-in-time cross-docking. In the vendor-managed inventory model, suppliers access the company’s information systems to decide when to deliver goods based on real-time data on inventory levels. In this way, Walmart minimizes the problem of stockouts. On the other hand, in just-in-time cross-docking, the retail company minimizes the size of its inventory, thereby supporting cost-minimization efforts. These approaches help maximize the operational efficiency and performance of the retail business in this strategic decision area of operations management (See more: Walmart: Inventory Management ).

9. Scheduling . Walmart uses conventional shifts and flexible scheduling. In this decision area of operations management, the emphasis is on optimizing internal business process schedules to achieve higher efficiencies in the retail enterprise. Through optimized schedules, Walmart minimizes losses linked to overcapacity and related issues. Scheduling in the retailer’s warehouses is flexible and based on current trends. For example, based on Walmart’s approaches to inventory management and supply chain management, suppliers readily respond to changes in inventory levels. As a result, most of the company’s warehouse schedules are not fixed. On the other hand, Walmart store processes and human resources in sales and marketing use fixed conventional shifts for scheduling. Such fixed scheduling optimizes the retailer’s expenditure on human resources. However, to fully address scheduling as a strategic decision area of operations management, Walmart occasionally changes store and personnel schedules to address anticipated changes in demand, such as during Black Friday. This flexibility supports optimal retail revenues, especially during special shopping occasions.

10. Maintenance . With regard to maintenance needs, Walmart addresses this decision area of operations management through training programs to maintain human resources, dedicated personnel to maintain facilities, and dedicated personnel to maintain equipment. The retail company’s human resource management involves training programs to ensure that employees are effective and efficient. On the other hand, dedicated personnel for facility maintenance keep all of Walmart’s buildings in shape and up to corporate and regulatory standards. In relation, the company has dedicated personnel as well as third-party service providers for fixing and repairing equipment like cash registers and computers. Walmart also has personnel for maintaining its e-commerce websites and social media accounts. This combination of maintenance approaches contributes to the retail company’s effectiveness in satisfying the concerns in this strategic decision area of operations management. Effective and efficient maintenance supports business resilience against threats in the industry environment, such as the ones evaluated in the PESTEL/PESTLE Analysis of Walmart Inc .

Determining Productivity at Walmart Inc.

One of the goals of Walmart’s operations management is to maximize productivity to support the minimization of costs under the cost leadership generic strategy. There are various quantitative and qualitative criteria or measures of productivity that pertain to human resources and related internal business processes in the retail organization. Some of the most notable of these productivity measures/criteria at Walmart are:

  • Revenues per sales unit
  • Stockout rate
  • Duration of order filling

The revenues per sales unit refers to the sales revenues per store, average sales revenues per store, and sales revenues per sales team. Walmart’s operations managers are interested in maximizing revenues per sales unit. On the other hand, the stockout rate is the frequency of stockout, which is the condition where inventories for certain products are empty or inadequate despite positive demand. Walmart’s operations management objective is to minimize stockout rates. Also, the duration of order filling is the amount of time consumed to fill inventory requests at the company’s stores. The operations management objective in this regard is to minimize the duration of order filling, as a way to enhance Walmart’s business performance.

  • Reid, R. D., & Sanders, N. R. (2023). Operations Management: An Integrated Approach . John Wiley & Sons.
  • Szwarc, E., Bocewicz, G., Golińska-Dawson, P., & Banaszak, Z. (2023). Proactive operations management: Staff allocation with competence maintenance constraints. Sustainability, 15 (3), 1949.
  • Walmart Inc. – Form 10-K .
  • Walmart Inc. – History .
  • Walmart Inc. – Location Facts .
  • Walmart’s E-commerce Website .
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  • This article may not be reproduced, distributed, or mirrored without written permission from Panmore Institute and its author/s.
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Browse Course Material

Course info, instructors.

  • Prof. Charles H. Fine
  • Prof. Tauhid Zaman

Departments

  • Sloan School of Management

As Taught In

  • Mathematics
  • Social Science

Introduction to Operations Management

Cases and readings.

The required readings for this course include:

  • Cases listed in the Cases/Readings column below
  • Goldratt, Eliyah M., and Jeff Cox. The Goal: A Process of Ongoing Improvement . 2nd revised ed. North River Press, 1992. ISBN: 9780884270614.
  • [MSD] = Cachon, Gerard, and Christian Terwiesch. Matching Supply with Demand: An Introduction to Operations Management . 3rd ed. McGraw-Hill, 2012. ISBN: 9780073525204.
SES # TOPICS CASES/READINGS
1 Introduction and class overview

Course syllabus

[MSD] Chapters 2.2–3, and 3.1.

2 McDonald’s and Burger King cases

Sasser, Jr., W. Earl, et al. “ .” Harvard Business School Case. Harvard Business School Publishing. Case: 9-681-044, December 1, 1980.

———. “ .” Harvard Business School Case. Harvard Business School Publishing. Case: 9-681-045, December 1, 1980.

[MSD] Chapter 2.6.

Van Ryzin, Garrett J. “Production Processes.” Columbia Business School Case. Columbia Caseworks. Case: 080212, Winter 2008.

3 Capacity I: Capacity analysis & queuing

Katz, Karen L., Blaire M. Larson, et al. “Prescription for the Waiting-In-Line Blues: Entertain, Enlighten, and Engage.” 32, no. 2 (1991): 44–53.

[MSD] Chapters 3.2–5, and 9.

4

Goldratt, Eliyah M., and Jeff Cox. . 2nd revised ed. North River Press, 1992. ISBN: 9780884270614.

5 Capacity II: Process re-engineering + CVS case

McAfee, Andrew. “ .” Harvard Business School Case. Harvard Business School Publishing. Case: 9-606-015, December 14, 2005.

Hammer, Michael. “ .” 68, no. 4 (1990): 104–12.

6 PATA case

McCarty, Kelsey, Jérémie Gallien, et al. “ .” MIT Sloan Case. MIT Sloan School of Management. Case: 11–116, January 3, 2012.

7 Inventory I: EOQ & cycle stocks

[MSD] Chapter 7.

8 Supply chain strategy + HP DeskJet case

Kopczak, Laura Rock, and Hau Lee. “ .” Stanford Graduate School of Business Case. Case: GS-3A, March 8, 2004.

Magretta, Joan. “ .” 76, no. 2 (1998): 73–84.

Fine, Charles H. “The Primacy of Chains: Capability Chains Make a Business.” Chapter 5 in . Basic Books, 1999. ISBN: 9780738201535.

9 Inventory II: newsvendor & safety stocks

[MSD] Chapters 12 and 14.

10 Sport Obermeyer case

Hammond, Janice H., and Ananth Raman. “ .” Harvard Business School Case. Harvard Business School Publishing. Case: 9-695-022, October 13, 1994.

Fisher, Marshall L., Ananth Raman, et al. “ ” 78, no. 4 (2000): 115–24.

[MSD] Chapter 15.

11 Toyota production system + Toyota case

Mishina, Kazuhiro. “ .” Harvard Business School Case. Harvard Business School Publishing. Case: 9-693-019, September 8, 1992.

Spear, Steven, and H. Kent Bowen. “ .” 77, no. 5 (1999): 96–106.

[MSD] Chapter 11.

12 Apparel supply chains + Marks & Spencer and Zara case

Pich, Michael, Ludo Van der Heyden, et al. “Marks & Spencer and Zara: Process Competition in the Textile Apparel Industry.” Insead. Case 602-010-1, January 1, 2002.

Fung, Victor. “ .” 76, no. 5 (1998): 103–14.

[MSD] Chapter 10.

13 Amazon case

Hammond, Janice H., and Claire Chiron. “ .” Harvard Business School Case. Harvard Business School Publishing. Case: 9-605-002, June 30, 2005.

14

Littlefield Technologies simulation game

Guest Lecturer: James Miller,

For an overview of the game, go to .
15 Littlefield Technologies simulation game For an overview of the game, go to .
16 European recycling platform case

Lee, Hau, and Maria Shao. “ .” Stanford Graduate School of Business Case. Case: G-S67, August 28, 2009.

17 Operational risk management I  
18 Quality management + Hank Kolb case

Leonard, Frank S. “ .” Harvard Business School Case. Harvard Business School Publishing. Case: 9-681-083, March 1, 1981.

Berwick, Donald M. “ .” 29, no. 12 (1991): 1212–25.

Weisz, William J. Motorola, Inc.

[MSD] Chapter 10.

19 Operational risk management II + Wal-Mart case

Rosegrant, Susan, and Dutch Leonard. “ .” Harvard Kennedy School Case. Harvard Business School Publishing. Case: 1876.0, August 28, 2007.

20 Revenue management I

Netessine S., and R. Shumsky. “Introduction to the Theory and Practice of Yield Management.” 3, no. 1 (2002): 34–44.

[MSD] Chapter 16.

21 Revenue management II + Break.com case

Roels, Guillaume, and Tyler Skowrup. UCLA Anderson School of Management Case. UCLA. October 2008.

22 Supply chain contracts + Barilla case

Hammond, Janice H. “ .” Harvard Business School Case. Harvard Business School Publishing. Case: 9-694-046, May 17, 1994.

[MSD] Chapter 17.

23 Course wrap-up  

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How Could Harvard Decarbonize Its Supply Chain?

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10 Trends to Watch in 2024

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COVID Tested Global Supply Chains. Here’s How They’ve Adapted

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How SHEIN and Temu Conquered Fast Fashion—and Forged a New Business Model

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The $15 Billion Question: Have Loot Boxes Turned Video Gaming into Gambling?

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Montage of images from the Top 40 cases of 2018

Top 40 Most Popular Case Studies of 2018

Cases about food and agriculture took center stage in 2018. A case on the coffee supply chain remained the top case and cases on burgers, chocolate, and palm oil all made the top ten.

Cases about food and agriculture took center stage in 2018. A case on the coffee supply chain remained the top case and cases on burgers, chocolate, and palm oil all made the top ten, according to data compiled by Yale School of Management Case Research and Development Team (SOM CRDT).

Other topics in the top ten included corporate social responsibility, healthcare, solar energy, and financial inclusion.

The annual ranking of the 40 most popular Yale School of Management case studies combines data from publishers, Google analytics, SOM class syllabi, and other measures of interest and adoption. This is the second year that SOM CRDT has published its Top 40 list.

Cases published in 2018 on the top 40 list included Marina Bay Sands Hotel (#13), AgBiome (#18), Canary Wharf (#20), Mastercard (#21), and Peabody Museum (#35). Both the Marina Bay Sands and Peabody cases were featured in major student competitions in 2018.

The cases on the Top 40 list represent a variety of different business disciplines, as Yale SOM cases tend to combine a variety of perspectives. For example, the top coffee case can be taught in marketing, operations, and strategy classes. The number two case on Shake Shack covers finance, strategy, and even innovation and design. The list features a number of cases related to the interplay of state and commerce and social enterprise, traditional strengths of the Yale SOM curriculum.

While there are many US-based cases among the top 40, a range of locales are highlighted among the top 40 entries. Cases set in France (AXA), Great Britain (Cadbury, Canary Wharf, George Hudson), Indonesia (Palm Oil, Golden Agri), China (Ant Financial, Alibaba), India (SELCO, Project Sammaan), Singapore (Marina Bay Sands), Canada (Air Canada, Potash Corporation of Saskatchewan), and South Africa (Project Masiluleke) made the top 40 list.

SOM CRDT has been working to increase the number of women featured as case protagonists. The 2018 list boasts 13 cases where women play prominent roles in the narrative.

The top 40 list also demonstrates a wide range of SOM faculty involvement. Thirty different faculty members worked as case supervisors on the top 40 cases.

Read on to learn more about the top 10 most popular cases followed by a complete list of the top 40 cases of 2018. A selection of the top 40 cases are available for purchase through our online store . 

#1 - Coffee 2016

Faculty Supervision: Todd Cort

Coffee 2016 asks students to consider the coffee supply chain and generate ideas for what can be done to equalize returns across various stakeholders. The case draws a parallel between coffee and wine. Both beverages encourage connoisseurship, but only wine growers reap a premium for their efforts to ensure quality.  The case describes the history of coffee production across the world, the rise of the “third wave” of coffee consumption in the developed world, the efforts of the Illy Company to help coffee growers, and the differences between “fair” trade and direct trade. Faculty have found the case provides a wide canvas to discuss supply chain issues, examine marketing practices, and encourage creative solutions to business problems. 

#2 - Shake Shack IPO

Faculty Supervision: Jake Thomas and Geert Rouwenhorst

From an art project in a New York City park, Shake Shack developed a devoted fan base that greeted new Shake Shack locations with cheers and long lines. When Shake Shack went public on January 30, 2015, investors displayed a similar enthusiasm. Opening day investors bid up the $21 per share offering price by 118% to reach $45.90 at closing bell. By the end of May, investors were paying $92.86 per share. Students are asked if this price represented a realistic valuation of the enterprise and if not, what was Shake Shack truly worth? The case provides extensive information on Shake Shack’s marketing, competitors, operations and financials, allowing instructors to weave a wide variety of factors into a valuation of the company.

#3 - IBM Corporate Service Corps

Faculty Supervision: David Bach in cooperation with University of Ghana Business School and EGADE

The case considers IBM’s Corporate Service Corps (CSC), a program that had become the largest pro bono consulting program in the world. The case describes the program’s triple-benefit: leadership training to the brightest young IBMers, brand recognition for IBM in emerging markets, and community improvement in the areas served by IBM’s host organizations. As the program entered its second decade in 2016, students are asked to consider how the program can be improved. The case allows faculty to lead a discussion about training, marketing in emerging economies, and various ways of providing social benefit. The case highlights the synergies as well as trade-offs between pursuing these triple benefits.

#4 - Children’s Premier

Faculty Supervision: Edieal Pinker

The case describes Children’s Premier, a popular group practice in Greenwich, Connecticut which, due to a change in the state’s vaccination law, decides to dramatically change its business model. Did the group make the right adjustments in order to stay competitive and cover their increasing costs? Should the new practices cause a newcomer to the practice to look elsewhere for his children?

#5 - Design at Mayo

Faculty Supervision: Rodrigo Canales and William Drentell

The case describes how the Mayo Clinic, one of the most prominent hospitals in the world, engaged designers and built a research institute, the Center for Innovation (CFI), to study the processes of healthcare provision. The case documents the many incremental innovations the designers were able to implement and the way designers learned to interact with physicians and vice-versa.

In 2010 there were questions about how the CFI would achieve its stated aspiration of “transformational change” in the healthcare field. Students are asked what would a major change in health care delivery look like? How should the CFI's impact be measured? Were the center's structure and processes appropriate for transformational change? Faculty have found this a great case to discuss institutional obstacles to innovation, the importance of culture in organizational change efforts, and the differences in types of innovation.

This case is freely available to the public.

#6 - AXA: Creating New Corporate Responsibility Metrics

Faculty Supervision: Todd Cort and David Bach

The case describes AXA’s corporate responsibility (CR) function. The company, a global leader in insurance and asset management, had distinguished itself in CR since formally establishing a CR unit in 2008. As the case opens, AXA’s CR unit is being moved from the marketing function to the strategy group occasioning a thorough review as to how CR should fit into AXA’s operations and strategy. Students are asked to identify CR issues of particular concern to the company, examine how addressing these issues would add value to the company, and then create metrics that would capture a business unit’s success or failure in addressing the concerns.

#7 - Cadbury: An Ethical Company Struggles to Insure the Integrity of Its Supply Chain

Faculty Supervision: Ira Millstein

The case describes revelations that the production of cocoa in the Côte d’Ivoire involved child slave labor. These stories hit Cadbury especially hard. Cadbury's culture had been deeply rooted in the religious traditions of the company's founders, and the organization had paid close attention to the welfare of its workers and its sourcing practices. The US Congress was considering legislation that would allow chocolate grown on certified plantations to be labeled “slave labor free,” painting the rest of the industry in a bad light. Chocolate producers had asked for time to rectify the situation, but the extension they negotiated was running out. Students are asked whether Cadbury should join with the industry to lobby for more time?  What else could Cadbury do to ensure its supply chain was ethically managed?

#8 - Palm Oil 2016

Faculty Supervision: Kenneth Richards in cooperation with National University of Singapore Business School and David Bach

The case looks at the palm oil industry in Indonesia and how the industry effects deforestation and native rights. The case focuses on a proposal forwarded by leading palm oil traders and environmental NGOs that would ban the sale of palm oil from deforested land. The proposal is opposed by elements of the government, and smaller palm oil companies. Some voices in the Indonesian government are suggesting an agreement to end deforestation needs to be scrapped. What should companies and NGOs do?

#9 - Ant Financial

Faculty Supervision: K. Sudhir in cooperation with Renmin University of China School of Business

In 2015, Ant Financial’s MYbank (an offshoot of Jack Ma’s Alibaba company) was looking to extend services to rural areas in China by providing small loans to farmers. Microloans have always been costly for financial institutions to offer to the unbanked (though important in development) but MYbank believed that fintech innovations such as using the internet to communicate with loan applicants and judge their credit worthiness would make the program sustainable. Students are asked whether MYbank could operate the program at scale? Would its big data and technical analysis provide an accurate measure of credit risk for loans to small customers? Could MYbank rely on its new credit-scoring system to reduce operating costs to make the program sustainable?

#10 - SELCO

Faculty Supervision: Tony Sheldon

The case looks at SELCO, an Indian company that specialized in bringing solar electric products to the poor. In 2009, the company needed a new growth strategy. As students consider the company’s dilemma, the raw case allows them to view video interviews with company leaders and customers, inspect maps of SELCO’s service areas, see videos describing how SELCO’s products were being used, consider articles on India’s electricity grid and socio-economic conditions, read about the company’s founding, consult the company’s organization charts, income statements and balance sheets, inspect the company’s innovative products, review the company’s business models, read news articles about the company’s success, etc.

SELCO, India's innovative solar electric company, was at a strategic crossroads. Should it go “deeper” and serve even poorer people or go “wider” and expand beyond its current geographical areas?

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operations management case study examples

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Operations strategy

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operations management case study examples

How to Make Extreme Numbers Resonate

  • Harvard Business Review
  • From the January–February 2016 Issue

operations management case study examples

Bureaucracy Is Keeping Health Care from Getting Better

  • Kenneth T. Segel
  • October 13, 2017

operations management case study examples

The 4 Tiers of Digital Transformation

  • Mohan Subramaniam
  • September 21, 2021

Real Virtual Factory

  • David M. Upton
  • Andrew McAfee
  • From the July–August 1996 Issue

operations management case study examples

Bringing Manufacturing Back to the U.S. Is Easier Said Than Done

  • Willy C Shih
  • April 15, 2020

How to Engage the Front Line in Process Improvement

  • July 06, 2011

operations management case study examples

Success with the Internet of Things Requires More Than Chasing the Cool Factor

  • Maciej Kranz
  • August 07, 2017

The Case of the Machinists’ Mutiny

  • W. Bruce Chew
  • From the November–December 1990 Issue

Strong Patient-Provider Relationships Drive Healthier Outcomes

  • Erin E. Sullivan
  • Andy Ellner, MD
  • October 09, 2015

Why the Future of E-Commerce Depends on Better Roads

  • Edward Humes
  • April 08, 2016

Postindustrial Manufacturing

  • Ramchandran Jaikumar
  • From the November 1986 Issue

Managing as if Tomorrow Mattered

  • Robert H. Hayes
  • David A. Garvin
  • From the May 1982 Issue

The Big Idea: The Age of Hyperspecialization

  • Thomas W. Malone
  • Robert Laubacher
  • Tammy Johns
  • From the July–August 2011 Issue

operations management case study examples

What the Companies on the Right Side of the Digital Business Divide Have in Common

  • Marco Iansiti
  • Karim R. Lakhani
  • Robert Bock
  • January 31, 2017

Swarm Intelligence: A Whole New Way to Think About Business

  • Eric Bonabeau
  • Christopher Meyer
  • From the May 2001 Issue

operations management case study examples

Raising Wages Is the Right Thing to Do, and Doesn’t Have to Be Bad for Your Bottom Line

  • April 18, 2019

A New Way to Rate Retailers on Providing Good Jobs

  • September 03, 2015

operations management case study examples

How Manufacturers Can Get Faster, More Flexible, and Cheaper

  • David Light
  • Raghav Narsalay
  • February 27, 2017

operations management case study examples

Making Process Improvements Stick

  • From the November–December 2018 Issue

What the C-Suite Needs to Do for Process Improvement

  • December 15, 2010

operations management case study examples

American Connector Co. (B)

  • Gary P. Pisano
  • October 05, 1992

Note on the Canadian Transportation Industry

  • P. Fraser Johnson
  • April 22, 2016

Final Exercises at the Darden School

  • Elliott N. Weiss
  • June 08, 2015

Be Well Hospitals: Service Excellence in Secondary Healthcare

  • Piyush Kumar
  • Sonia Mehrotra
  • Geetika Shah
  • May 20, 2020

Assembling Smartphones: Takt Time ≠ Cycle Time?

  • Ethan S. Bernstein
  • September 27, 2010

Primateria AB: Scaling Up and Protecting IP

  • Torsten Doering
  • Olle Wanstrand
  • April 12, 2022

Braun AG: The KF 40 Coffee Machine

  • Karen J. Freeze
  • January 01, 1990

Adani Agri Logistics Limited: Blocking the Grain Drain

  • Mohita Gangwar
  • Sachinder Mohan Sharma
  • Puneet Mehndiratta
  • April 02, 2014

Hewlett-Packard: Singapore (A)

  • Dorothy Leonard-Barton
  • George Thill
  • September 27, 1993

Baidu, Alibaba, and Tencent: The Three Kingdoms of the Chinese Internet

  • Aaron Smith
  • January 13, 2015

Pete & Gerry's

  • Jose B. Alvarez
  • Natalie Kindred
  • November 30, 2016

Learning from Extreme Consumers

  • Michael I. Norton
  • January 06, 2014

Leading Change in Talent at L'Oreal

  • Lakshmi Ramarajan
  • Vincent Dessain
  • Emer Moloney
  • February 27, 2020

Caterpillar-Komatsu in 1986

  • Christopher A. Bartlett
  • December 03, 1986

Promotions Manufacturing: Production Unit Expenses and Profitability

  • Laszlo Markovics
  • June 26, 2020

Saint Honore: Benchmarking Store-Level Performance

  • June 07, 2022

Flying into the Future: HondaJet

  • Jesse Shulman
  • January 09, 2018

Tony Santino (A)

  • Jeffrey A. Sonnenfeld
  • October 01, 1981

El Celler de Can Roca: Innovation in Services

  • Carlos Cabrera
  • Jaume Hugas
  • August 21, 2020

Play On! Weighing the Option to Restart

  • J. Robert Mitchell
  • August 17, 2010

operations management case study examples

Principles for User Design of Customized Products

  • Taylor Randall
  • Christian Terwiesch
  • Karl T. Ulrich
  • August 01, 2005

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Operations strategy case studies

Customer operations.

A leading US non-profit health insurer focused on service as a key differentiator. It wanted to gain insight into current operational performance, and develop customer-centric capabilities like self-service and digital competency. PwC's Strategy& was engaged to evaluate and address gaps in customer and member engagement.

Leveraging our health insurance expertise, proprietary market research databases, and best practices to help the client develop its differentiated customer-centric capabilities, we identified quick wins included outsourcing of manual activities, automation of macros/scripting, and standardization of call center work-from-home policies. We delivered a plan to enhance workforce management, consolidate provider data claim, and move to pre-pay policy. Additional recommendations addressed network rationalization, timely issuance of ID cards, and reducing SG&A expenses.

The project identified $25M investment in provider engagement, flexible network design, personalized member service, and real-time enrollment to achieve the desired differentiating capabilities.

Innovation and product development

A global chemicals specialty company with multiple business units and several existing embedded R&D teams was challenged by stagnating growth in difficult market conditions and the client was seeking to reinvigorate the portfolio. The client sought to consolidate R&D capabilities and establish a corporate innovation function to coordinate and drive its long-term R&D agenda and drive growth.

Strategy& was asked to design the innovation operating model, define the collaboration with business units, and develop a concept for R&D partnerships and venturing to drive growth.

We established a target operating model, refocused product innovation into clusters and developed a venturing approach. The client experienced a significant upswing in R&D productivity, new record numbers of patents filed, and breakthroughs innovations in a number of focus areas. Overall, improved R&D coherence led to 13% direct top line growth and 15% EBITDA improvement.

Strategic supply management

A global lighting company with over $5B sales revenue across more than 130 countries was faced with tremendous market disruptions resulting from the transition from traditional lighting to LED. To successfully play in this significantly different market, the company sold off its traditional business and refocused on the technically driven, fast-cycled LED business. To enable this, the client had to adopt new business models. Within this context, the procurement function had to undergo a major transition towards strategic supply management to effectively support the businesses going forward.

Strategy& supported the client in identifying the new requirements resulting from the changed business models, developing the procurement transformation program based on prioritized 4-6 focus areas (e.g. SRM, Supplier and Innovation Scouting), including appropriate KPIs, and designing a comprehensive change management concept and roadmap to ensure engagement and buy-in from the client team.

The transformation delivered significantly improved service levels for the BUs based on nine key strategic supply management capabilities and an adapted operating model with an improved split of roles and responsibilities between corporate headquarters and business units.

Competitive manufacturing

A global product company with $10B sales revenue across more than 130 countries was suffering from a highly complex manufacturing footprint which was not aligned with the client’s main markets. The client was losing sales and profitability due to high order fulfillment cycle times, high manufacturing costs, and low productivity performance in its key operations.

Strategy& designed the global manufacturing footprint strategy based on clearly defined customer and market requirements. As a consequence, the team agreed to realign the operations footprint from 23 to 15 operations by implementing a more balanced global footprint closer to key customers and/or distribution centers.

The transformation delivered shorter order fulfillment cycle times while simultaneously reducing manufacturing costs by up to 10% and improving overall productivity and flexibility. These results led to a gross margin improvement by 5%.

Capital assets

A leading oil field services and equipment company’s financial performance was lagging its peers, and the company had committed to a 3% improvement in North American net margin. Management believed there was an opportunity to improve the effectiveness of their >$1B equipment maintenance spend, but was unclear on where and how to achieve savings.

Strategy& helped the client pinpoint inefficiencies in their maintenance operating model, shifting from a highly reactive and siloed operation to an integrated team using advanced techniques to deliver maintenance when and where needed based on data. The changes were substantial as the client reorganized to break down functional barriers and create a maintenance process focused on customer performance.

Results were impressive — the maintenance transformation program was implemented at the top 80% of locations by revenue, resulting in a ~2% boost to net margins. It also drove a 20% reduction in maintenance cost, 50% reduction in maintenance related downtime, and improved customer service.

General and administrative (G&A) operations

The securities servicing division of a global banking group sought to address business challenges like reduced productivity, sub-optimal operating model for its Center of Excellence (CoE), lack of process standardization, cost escalation, process fragmentation, and duplication. Strategy& was asked to help in accelerating execution and benefits delivery through process optimization, offshoring and redesign of operating model.

Strategy& developed initial hypothesis through a detailed current state analysis, using both quantitative and qualitative tools, and conducted workshops to identify quick win opportunities. We proposed a redesigned operating model for the CoEs, and suggested in-depth implementation plan to drive the changes.

The project identified potential cost saving of $10M per annum and recommended lean FTE allocation across locations. The project also identified opportunities to achieve process efficiency and provided detailed target state structure of the CoE, including team size, shift patterns, and processes performed.

Enterprise-wide operational excellence

A leading tier-1 automotive supplier for the production and processing of rubber, plastics and metal with $680MM. sales revenue faced significant growth rates, but structures, process efficiency and financial performance did not follow accordingly and significant refinancing/cash flow complications evolved.

Strategy& was tasked with reshaping the company starting from product-market-strategy, developing the organizational structure and optimizing the entire process and operations landscape. An overall restructuring concept based on two pillars was developed: 1) Urgent short-term actions focusing on firefighting to ensure customer satisfaction and 2) sustainable long-term measures facilitating the optimization of the company’s footprint, product creation process, sales initiatives as well as lean production initiatives and the definition of an overall production system.

Continued success of these measures was ensured through the implementation of a common reporting structure and escalation process to track progress and define counter measures in case of deviations. The highly successful project identified cost saving initiatives worth more than $135MM. and had the client achieving EBIT margins of 6-8% during the project.

operations management case study examples

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Harald Dutzler

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Case Study In Operations Management

Profile image of Victoria Figiel

2011, Journal of Business Case Studies (JBCS)

This case study is conducted within the context of the Theory of Constraints. The field research reported in this document contains information specific to the telecommunications industry. An examination of the history, organization design, problems and solutions for one telecommunications company are undertaken from the perspective of academic work in the Theory of Constraints. The information included in this document was developed through interviews with four senior managers including the President, the Chief Technology Officer, a Vice President and a department manager. Their responses were the basis of identifying problems and undesirable effects. The undesirable effects were diagramed in six UDE clouds dealing with the following issues: 1- unclear vision from management to employees; 2- supplier; 3- market; 4- the price and regulation environment; 5- production; and 6- bureaucracy. These undesirable effects were logically examined until a single cloud depicting the core confli...

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CHIRANJIB BHOWMIK

The aim of this paper is to implement TOC in forging area in which the constraints prevents the throughput of the system to enhance the quality and reduce errors. Many quality improvement (QI) approaches have a limited evaluation of the factors in the selection of QI projects. Theory of constraints (TOC) has been proposed as a remedy for the better selection of QI projects. The strategic Thinking Processes (TP) of Theory of constraints is designed to struggle an enormous problem faced by organizations. The paper proposes an improvement of TOC–based TP in one of the leading forging industry in India to identify and overcome the system constraints in the business. The result shows that the TOC-TP identifies the production constraints and suggests measures to improve the system. The research is applicable to any production house in which product quality reduces the throughput of the organization. This is the first time that the theory of constraints philosophy has been used to maximize...

operations management case study examples

Jesus Ramon Melendez

The investigations began with the drum-buffer-rope architecture, as the basis of the Theory of Constraints (TOC). Currently, TOC has been applied in various business sectors. With the support of mathematical models and simulation, it has been possible to optimize the productive processes. The objective of this study was to determine the investigative tendencies of the TOC in the different productive sectors and its application in business management environments. The results establish that its application increases the efficiency of the process.

Nigerian Chapter of Arabian Journal of Business and Management Review

Hamed Alizadeh

In today’s economic climate, many organizations struggle with declining sales and increasing costs. Some choose to hunker down and weather the storm, hoping for better results in the future. However, layoffs and workforce reductions jeopardize future competitiveness. However, organizations that have implemented the Theory of Constraints (TOC) continue to thrive and grow in difficult times, continuing to achieve real bottom line growth, whether by improving productivity or increased revenues. In this paper, the organization dealing with the furniture manufacturing has been studied and the main constraints for the maximum throughput are identified by applying a thinking process tool called as “Theory of Constraints” (TOC). The Drum Buffer Rope (DBR) has been applied for capacity planning and the time for each identified processes is calculated and workload for each work center is calculated. Then the capacity constraint machine is identified. The proper solution has been provided to o...

Niek Du Preez

Erkam Guresen

Theory of constraints (TOC) is a technique that produces solutions for every kind of bottleneck in a short time. The philosophy of the theory is to determine the weaker part of the process chain and to eliminate this constraint point by taking action. After improvement, the next weaker part of the process chain is determined, and so on, for continuous improvement. The main goal is to apply improvement actions continuously to reach an excellent system structure. This paper describes how the five main steps of the theory of constraints were applied to eliminate waste at a supplier firm in Turkey..

Aitor Lizarralde

Purpose: The theory of constraints (TOC) drum-buffer-rope methodology is appropriate when managing a production plant in complex environments, such as make-to-order (MTO) scenarios. However, some difficulties have been detected in implementing this methodology in such changing environments. This case study analyses a MTO company to identify the key factors that influence the execution of the third step of TOC. It also aims to evaluate in more depth the research started by Lizarralde et al. (2020) and compare the results with the existing literature. Design/methodology/approach: The case study approach is selected as a research methodology because of the need to investigate a current phenomenon in a real environment. Findings: In the case study analysed, the protective capacity of non-bottleneck resources is found to the key factor when subordinating the MTO system to a bottleneck (BN). Furthermore, it coincides with one of the two key factors defined by the literature, namely protec...

Information Systems and e-Business Management

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operations management case study examples

Location Dilemma: Winery & Vineyard

Forecasting demand for flat steel - a study on a steel rolling mill in india, effective vendor management: a key to success, a case from sajdhaj, indore, madhya pradesh, zegema retail: space planning, need and challenges in minimizing wastes in a sme automotive firm: case study of janus auto*, a case based comparative analysis of project management leadership styles, energy management in msmes: operational challenges & opportunities*.

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Sourcing Dilemma in Supply Chain: Does Signalling Help!

Digital secretariat: less paper office*, reducing waiting times an effort to centralize campus security, master data management – implementation challenges in a large manufacturing industry*, indian aviation sector: looking beyond profits, akshaya patra model: feeding knowledge hungry children*, managing the rush a case of a transport department in a management institute*, idle inventory*.

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ORIGINAL RESEARCH article

Solid waste management service chain and sanitation safety: a case study of existing practice in addis ababa, ethiopia.

Shegaw Fentaye Sisay

  • Division of Water and Health, Ethiopian Institute of Water Resources, Addis Ababa University, Addis Ababa, Ethiopia

Background: Poor sanitation safety in municipal solid waste management can cause environmental and public health problems. This is the case in Ethiopia, where the sanitation safety standards are low in the municipal solid waste management operations. Therefore, the sanitation safety practices along the solid waste management service chains in Addis Ababa, Ethiopia are poorly understood, and this research will contribute new insights for the scientific community and can also inform policies and the current solid waste management operations in Addis Ababa.

Materials and Methods: This study evaluated the safety of sanitation practices in the solid waste management service chain using a community-based approach in Addis Ababa city from January to August 2023. We have interviewed 384 participants using a cluster-random sampling technique and collected data through direct observations and face-to-face interviews. The study employed descriptive statistics, factor analysis and multiple linear logistic regression to analyze the data.

Results: The findings of the study revealed significant variations in sanitation safety practices and risks among households during solid waste management. While 60% of households practiced solid waste segregation, only 15% of them followed safe segregation practices. The majority of households (85%) used unsafe segregation practices, such as mixing different types of waste and storing wet and dry waste together. Additionally, 85% of households used storage and transport containers that had leaks, potentially leading to contamination and infection. Furthermore, the study identified sanitation safety risks and practices at waste collection and transport sites. The risks included solid waste droppings during transport, inadequate vehicle cleaning and disinfection, lack of personal protective equipment (PPE) for workers, and uncovered waste collection vehicles, leading to environmental contamination. At transfer stations, the study found several risk factors, such as the lack of protection from animals and human activities, absence of shower facilities for workers, and inadequate storage facilities for PPE and tools. The transfer stations also lacked odor-neutralizing systems, proper waste handling practices, and physical fly barriers. Workers did not have the opportunity to shower after work, further increasing the risk. The sanitation safety practices and risks at solid waste treatment/disposal sites were also assessed. The study revealed medium risks associated with waste treatment/disposal operations, including working without PPE, handling contaminated containers and raw waste, and releasing airborne particulates that could be inhaled by workers or the nearby community. Factor analysis was conducted to categorize the variables related to sanitation safety practices. Six factors were identified, explaining approximately 60.6% of the overall variance. These factors represented different aspects of sanitation safety, including onsite waste handling practices, failure to maintain proper standards, risks related to unsafe waste storage, failure to properly store wastes at the household level, having safe storage practices, and unsafe waste segregation and storage. The study also examined the association between sanitation safety practices and sociodemographic factors using multiple linear regression analysis. Marital status, education, occupation, and income were found to be significant factors influencing sanitation safety practices during onsite waste handling. Income and marital status had the highest contribution, while occupation had the lowest contribution.

Conclusion and Recommendation: the research findings highlight the wide variation in sanitation safety practices and risks associated with solid waste management. The study emphasizes the need for improved waste management practices at the household level, waste collection and transport sites, transfer stations, and waste treatment/disposal sites. The identified risk factors should be addressed through targeted interventions, including public awareness campaigns, proper training of waste management workers, and the implementation of safety protocols and infrastructure improvements. Additionally, sociodemographic factors play a role in determining sanitation safety practices, emphasizing the importance of considering these factors when developing waste management strategies and interventions.

1 Introduction

The United Nations Environment Programme ( Wilson et al., 2015 ) global waste management outlook warns that the growing volume and complexity of garbage produced by the modern economy puts ecosystems and human health at risk. An estimated 11.2 billion tonnes of solid trash are collected annually worldwide, and around 5% of the global greenhouse gas emissions are caused by organic waste decomposition ( Ram et al., 2021 ). Solid waste management (SWM) is the process of collecting, treating, and disposing of solid materials that are discarded because they have served their purpose or are no longer useful. SWM can pose various environmental, health, and safety risks, such as pollution, disease transmission, fire, explosion, injury, and accidents ( Naidu et al., 2021 ).

How much people are exposed depends on many factors. It is important to consider how different solid waste management methods, ways of moving contaminants, and health effects are connected. People can get exposed by touching waste, breathing polluted air, or eating polluted food or water ( Alam et al., 2022 ).

Solid waste management has different activities along the service chain, which include generation, collection, transportation, treatment, reuse, recycling, and disposal. Risks are present at every step of the service chain, from the point of generation at homes to solid waste recycling and disposal ( Ike et al., 2018 ; Beka and Meng, 2021 ). Solid waste management workers can be affected by various health and sanitation safety risks, especially injuries, allergies, respiratory, gastrointestinal, and infectious diseases ( Cruvinel et al., 2019 ; Melaku and Tiruneh, 2020 ). For instance, according to a study among municipal solid waste workers in Egypt, poor personal hygiene, inadequate use of personal protective equipment, and failure to apply safety measures were associated with accidents and needle stick injuries in 46.5% and 32.7% of the study participants respectively ( Madian and Abd El-Wahed, 2018 ). A similar study also reported that 73.8% of the study participants had unsafe solid waste management practices which caused a high prevalence of gastrointestinal, respiratory, skin, and other infectious diseases ( Kasemy et al., 2021 ). Another similar assessment on occupational health and safety among scavengers in the Gaza Strip, Palestine, revealed that the occupational health and safety conditions of waste pickers are in a state of constant deterioration, primarily due to the informal nature of their work. These waste pickers are reportedly facing severe hardships, with the majority lacking access to potable water, adequate sanitation, and hygienic places to sleep and eat. Furthermore, none of the waste pickers have ever received occupational health and safety training, exacerbating their vulnerability and health risks ( Al-Khatib et al., 2020 ).

Improper disposal of household solid waste can cause environmental degradation and deterioration. When organic solids decompose, they produce odors, leachate, and other acids that can destroy plants, dissolve important soil minerals, and contaminate groundwater. This can lead to ecosystem disturbances by some organisms such as water hyacinth, which kills aquatic life and causes water-borne diseases such as cholera, diarrhea, dysentery, and typhoid ( Mandevere and Jerie, 2018 ; Rautela et al., 2021 ).

Waste generation in Addis Ababa is driven by rapid urbanization, population growth, and economic activities. The waste includes household, commercial, industrial, and healthcare waste, with a significant portion being organic waste ( Mekonnen et al., 2024 ). Waste collection in Addis Ababa faces several challenges, including inadequate coverage, irregular service, and insufficient infrastructure. Many areas, especially informal settlements, do not receive regular waste collection services. Collection is often done using outdated and insufficient equipment, leading to inefficiencies and environmental pollution. In recent years, efforts have been made to improve collection services through the involvement of private sector players and community-based organizations. These initiatives aim to enhance the reach and efficiency of waste collection services across the city ( Teshager Alemu, 2017 ). Transporting waste to disposal sites is another critical stage. The city’s waste transportation system is often hindered by traffic congestion, inadequate vehicles, and poor road conditions. This results in delays and increases the risk of waste being dumped illegally or improperly managed. The city has initiated waste-to-energy projects, such as the Reppie waste-to-energy facility, which aims to convert waste into electricity. However, these projects face challenges related to technology, maintenance, and operational sustainability ( Teshager Alemu, 2017 ). A significant portion of the waste generated in Addis Ababa is organic, making composting a viable treatment option. However, the city’s composting infrastructure is underdeveloped, and much of the organic waste ends up in landfills due to insufficient sorting at the source. Plastic and metal recycling facilities exist but are limited, affecting the overall efficiency of the waste management system ( Cheru, 2016 ).

The primary disposal site for Addis Ababa is the Repi landfill, also known as Koshe, which has been operational for several decades. Despite efforts to improve its management, the landfill remains a significant environmental and health concern. The city has explored waste-to-energy projects to reduce landfill dependency, but these initiatives are still in early stages ( Furgasa et al., 2023 ).

Municipal solid waste poses a risk to the environment and public health in Addis Ababa, as only a fraction of it is properly managed. Out of the daily waste generation, 65% is collected and disposed of, 5% is recycled, 5% is composted, and the rest 25% is left uncollected and dumped in unauthorized areas ( Gelan, 2021 ). In the city, inadequate household solid waste collection and disposal has led to significant waste piles in open temporary collection sites, building corridors and sewers. Until it is taken to the city’s disposal site, the collected garbage is kept at roadside and between community neighborhoods. Furthermore, the collected waste is entirely left outside for days, exposed to sun and rain, and different animals including street dogs, cattle and horse scatter the solid waste in the surrounding. The piles and scattered wastes produce an offensive odor, ruin the surrounding urban landscape, attract pests, and interfere with local people’s daily activities ( Mohammed and Elias, 2017 ). Meanwhile, uncollected waste is disposed informally, with a small percentage being burned and dumped in open areas, drainage canals, rivers and gorges, and on the street ( Gelan, 2021 ). The open-air burning and spontaneous combustion in dumping sites produce air pollution and unpleasant odors, which can travel several kilometers. These problems are exacerbated in areas where there is no solid waste collection at all such as in slum areas ( Mazhindu et al., 2010 ).

The improper management of the solid waste in the city has become a threat to the surface and groundwater sources. The solid waste management system has several problems, despite the gravity of the issue. For instance, a study conducted on occupational injuries and illness symptoms among Addis Ababa city solid waste collectors reported that only 43.6% of municipal solid waste collectors were using some form of personal protective equipment (PPE) while performing their duties. However, 22.5% of these PPE users stated that they did not use their PPE constantly while performing their duties, indicating their awareness gap. Another study on the occupational health conditions and contributing factors among municipal solid waste collectors reported that 71.1% of the study participants did not receive occupational safety training ( Melaku and Tiruneh, 2020 ). Approximately 74% of this study participants did not immediately manage their personal hygiene; 73.1% of municipal solid waste collectors have no access to PPE from their company and are forced to buy PPE for themselves ( Melaku et al., 2020 ).

The study conducted on groundwater pollution and public health risk analysis in the vicinity of Reppi solid waste dumping site also concluded that the solid waste disposal site significantly impacts groundwater pollution and public health ( Zedwie, 2007 ). A study carried out on the health risk assessment of heavy metals in exposed workers of municipal waste recycling facility in Iran showed that, waste recyclers, dismantlers and waste sorters have the highest exposure and public health risks to hazardous metals due to their occupational exposure who are working in the Municipal solid waste recycling sites ( Ghobakhloo et al., 2024 ).

Studies on sanitation safety measures, standards, and approaches to implementation practice along the whole solid waste management service chain are scarce. There is no community-based study on assessing the existing practice of sanitation safety along the solid waste management service chain in Addis Ababa, Ethiopia. The current safety practices, risks, and their impact on public health and the environment are not well understood. Studies that can help to propose corrective measures that can help to appropriately maintain the sanitation safety practices across the municipal solid waste management service chains are rare. Therefore, this study was designed to look how the sanitation safety standards are practiced/implemented along the solid waste management service chains in Addis Ababa and generate scientific evidence that can inform policies and the current solid waste management operations.

2 Materials and methods

2.1 description of study area and sampling sites.

The study area was Addis Ababa, the capital city of Ethiopia and the seat of both federal and regional governments. The city covers an area of 54 km 2 and has an altitude ranging from 2,000 m to 2,800 m. It is surrounded by the Oromia National Regional State and divided into 11 sub-cities and 116 Districts. The city has a population of approximately 6 million people and is experiencing rapid urbanization and infrastructure development. Addis Ababa hosts over 2,000 industries, such as potable water, cement, textile, beverage and alcohol, tobacco, leather, tannery, plastic, and food factories. The city is the country’s industrial, cultural, administrative, commercial, and modern hub, as well as one of the central hubs in Africa with many international organizations and institutions ( Spaliviero and Cheru, 2017 ). The African Union, United Nations Economic Commission for Africa, and more than a hundred embassies are in Addis Ababa. The city is regarded as Africa’s diplomatic capital and a symbol of humanitarian progress on the continent.

The study assessed the sanitation safety practices in 384 households (HHs) located in 23 districts of the ten sub-cities, which are represented by highlighted marks ( Figure 1 ), and field observations were conducted on the operations of four solid waste collection and transport operations, at four solid waste transfer stations and in one final disposal, and recycling center.

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Figure 1 . Maps of study sites showing the solid waste management service chain.

2.2 Study design, and population selection

This study aimed to assess the sanitation safety of the solid waste management service chain in Addis Ababa city, Ethiopia, from January to August 2023. The study used a community-based cross-sectional design and collected both qualitative and quantitative data from various sources. The study population included community members who generated solid waste and solid waste management service providers who were involved in waste collection, transportation, treatment, and disposal. The study adapted tools from the World Health Organization (WHO) Water and Sanitation Safety planning manual ( Bartram, 2009 ; World Health Organization, 2015 ) and to measure the sanitation safety indicators along the service chain.

2.3 Sample size, sampling technique, and sampling procedure

2.3.1 sample size.

The sample size for the quantitative data was determined using the single population proportion formula. Given the parameters, the calculation was based on a 95% confidence level, represented by a Z value of 1.96, and a precision or margin of error set at 5%. In the absence of prior studies on sanitation safety along the solid waste management service chain in Addis Ababa, and lacking the time to conduct a pilot study, we assumed the proportion (P) to be 0.5. This assumption provides the most conservative estimate, ensuring the largest necessary sample size.

The formula ( Degu, 2005 ) used is as follows:

Where, n = the required sample size

p = the average proportion of in different settings.

Z = the critical value at 95% confidence level = 1.96.

d = precision (margin of error) = 5%.

To account for a potential non-response rate of 5%, the initial sample size of 384 was increased, resulting in a final sample size of 403 participants. This adjustment aims to mitigate the impact of non-participation and ensure sufficient data collection. Ultimately, data was collected from 385 participants, representing a 5% non-response rate.

The achieved sample size of 385 participants was designed to be representative of the broader population, based on several key factors. To enhance representativeness, a random sampling method was employed, ensuring that each member of the target population had an equal chance of being selected. This minimized selection bias and helped to achieve a sample that mirrors the population’s diversity. The sample covered various geographical areas within Addis Ababa and included diverse demographic segments such as different age groups, genders, socio-economic statuses, and educational backgrounds. This diversity helps in capturing a wide range of perspectives and behaviors related to sanitation safety.

While the calculated sample size included a 5% buffer for non-response, the final sample size of 385 falls slightly short of the intended 403. This slight shortfall is within acceptable limits and still allows for a reliable representation of the population. Efforts were made to follow up with non-respondents and encourage their participation to reduce non-response bias.

In the absence of previous studies specifically on sanitation safety along the solid waste management service chain in Addis Ababa, the use of a conservative proportion estimate ( p = 0.5) provided a robust and safe estimate for the required sample size. Careful design and implementation of the survey further enhanced representativeness. This included clear and unbiased questions, trained data collectors, and ensuring accessibility of the survey to all potential participants, including those with limited literacy or digital access.

The sample size of 385, despite falling slightly short of the intended 403, was calculated using rigorous statistical principles to ensure representativeness. Random sampling, demographic and geographical coverage, and efforts to minimize non-response bias were critical in achieving a representative sample. While the methodology provided a solid foundation, the actual representativeness also depended on the practical execution of the sampling and survey processes. By following these guidelines, the sample is designed to be a reliable representation of the population for the study on sanitation safety along the solid waste management service chain in Addis Ababa.

2.3.2 Sampling technique and sampling procedure

The sampling techniques used for the quantitative data included simple random sampling and cluster sampling. Figure 2 illustrates the household sampling procedures followed. For the qualitative data, purposive sampling was employed. The steps of the sampling procedure was as follows:

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Figure 2 . Sampling technique and sampling procedure.

First, we identified the key actors involved in the solid waste management service chain in Addis Ababa, such as waste collectors, transporters, treatment plant operators, landfill workers, and municipal officials.

Second, we selected a representative sample of each actor group purposively based on their availability, willingness, and experience in the solid waste management service chain.

Third, we conducted in-depth interviews with the selected participants using a semi-structured interview guide.

2.4 Data collection methods and tools

The study utilized a cross-sectional research design to evaluate sanitation safety practices in solid waste management. The data collection process adhered to the methodology outlined in the WHO Sanitation Safety Planning Manual, Second Edition ( World Health Organization, 2015 ). A structured semi-quantitative risk assessment questionnaire was developed, taking into account the manual’s guidelines and tailored to the specific study context. The questionnaire encompassed multiple sections that addressed various facets of solid waste management, including household waste handling practices, waste collection and transport, transfer stations, and solid waste treatment/disposal sites.

To ensure the credibility and accuracy of the data, a pilot study was conducted with a small sample of participants. Study subjects and areas under the solid waste management service chain were selected from the total number of Addis Ababa city administration Districts using simple random and cluster sampling methods. The primary sampling units, Districts, were selected using simple random sampling techniques. Accordingly, 20% (23 out of 116) of the total Districts were selected for the household survey.

Following the selection of the primary sampling unit (Districts), secondary sampling unit (neighborhoods) were considered as clusters, assuming homogeneity among them concerning sanitation safety practices. Neighborhoods within the randomly selected Districts were included based on the Probability Proportion to Sampling from each sampled District. The sampling frame was constructed by obtaining a list of neighborhoods with their household size from the sampled Districts. Subsequently, neighborhoods were randomly selected from the 23 Districts, resulting in a total of 28 neighborhoods (20% of the 138 neighborhoods).

The number of households in each selected neighborhood was determined using the Probability Proportional to Size (PPS) method, where size is defined as the total number of households derived from the population size in the sampled neighborhoods. Finally, tertiary sampling units (households) were selected using the “spin the pen” technique to identify the starting point within a sampled neighborhood. Spinning a ballpoint pen at the center of the neighborhood helped the study team randomly choose a direction to follow. Once the starting household was identified, households who were beneficiaries of the solid waste service chain and residing in the sampled neighborhoods were interviewed/observed using a standardized questionnaire until the desired sample size per neighborhood was achieved.

Other components of the solid waste management service chain, including waste collection, transportation, treatment, and disposal sites and service providers, were purposively selected. Field observations were conducted on the operations of four solid waste collection and transport operations, four solid waste transfer stations, and one final disposal and recycling center. Key informant interviews were also conducted with responsible personnel at the solid waste collection and transport operations, solid waste transfer stations, and the final disposal and recycling center to obtain additional primary information on the practice of safe solid waste management operations. These personnel provided insights into the facilities and processes involved.

Data collectors, each holding a Bachelor of Science degree in Environmental Health, were carefully selected based on their expertise and experience. They underwent a comprehensive 2-day training program that included 1 day of theoretical training and 1 day of practical pretesting. The training covered the study’s objectives, ethical considerations, detailed instructions on administering the questionnaire, and techniques for accurate data recording.

The proficient data collectors conducted household surveys under the supportive supervision of field supervisors who possessed a Master of Science degree in Environmental Health. The field supervisors provided continuous guidance and quality control to ensure the reliability of the data collected. Additionally, four data collectors with a Master of Science degree in Environmental Health were assigned to collect qualitative data across the solid waste management service chain, conducting in-depth interviews and focus group discussions.

The questionnaires, initially designed in English, were translated into the local language, Amharic, to facilitate effective communication and ensure comprehension by the respondents. The translation process included back-translation to verify accuracy and cultural relevance. Based on feedback from the pilot study, the questionnaire was further refined to improve clarity and relevance.

Trained surveyors administered the finalized questionnaire to the selected households in face-to-face interviews, ensuring that all sections were thoroughly covered. The administration process included obtaining informed consent, explaining the purpose of the study, and ensuring the confidentiality of the responses. In addition to the survey, direct observations were conducted at waste collection and transport sites, transfer stations, and solid waste treatment/disposal sites. These observations aimed to evaluate sanitation safety practices and identify potential risks, providing a comprehensive understanding of the solid waste management system.

2.5 Data processing and analysis

The collected data underwent a series of steps, including data entry, cleaning, editing, and analysis, conducted by the principal investigators using SPSS version 26 (Statistical Package for the Social Sciences). These processes aimed to ensure the accuracy, consistency, and completeness of the data, enhancing the reliability of the analyzed results.

To categorize sanitation safety risk practices, the study followed the risk scoring system outlined in the WHO Sanitation Safety Planning Manual, Second Edition. Risk levels were classified as low risk, medium risk, high risk, and very high risk. Table 1 shows semi-quantitative risk assessment matrix we have used to analyse the sanitation safety practices along the solid waste management service chain:

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Table 1 . Semi-quantitative risk assessment matrix for sanitation safety practices in solid waste management.

Diagnostic sanitary inspection questions were utilized to assign standard scores to each component of the safe solid waste management system, enabling the evaluation of risk levels associated with sanitation safety practices.

Descriptive statistics, such as frequency tables, percentages, means, and standard deviations, were employed to analyze most variables. These statistics provided a comprehensive overview of the data, allowing for a better understanding of the distribution and characteristics of the variables.

Additionally, factor analysis was conducted to assess the variability and identify common themes among observed, correlated variables related to sanitation safety practices. This analysis aimed to determine the relative importance of variables contributing to sanitation safety risks at the household level. The Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy value of 0.680 indicated that the manifest variables had enough in common to justify the use of factor analysis on the empirical data, supporting the validity of this technique. To enable linear regression analysis, transformations were applied to the originally categorical data, creating continuous data. Multiple linear regression was then conducted to estimate the relationship between sanitation safety practices and socio-demographic variables.

The data cleaning process ensured accuracy, consistency, and completeness of the data and variables, enhancing the reliability of the analyzed results.

3.1 Socio-demographic characteristics

A total of 384 individuals (95% participation rate) provided information on their gender, religion, education level, marital status, and income for the research. Table 2 presents the frequency (percentage) of these major socio-demographic characteristics of the study population.

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Table 2 . Socio-demographic characteristics of study participants.

3.2 Sanitation safety and risk assessment in solid waste management operations

3.2.1 sanitation safety and risk in household solid waste management.

The study aimed to assess sanitation safety practices and associated risks in household solid waste management within the study area. Sixteen indicators were used, categorized according to the WHO Sanitation Safety Planning Manual ( World Health Organization, 2015 ). These indicators were classified into four levels of sanitation safety risk: low (<6), intermediate (6–12), high (13–32), and very high (>32), with higher scores indicating higher risks.

Results revealed significant variations in sanitation safety practices and risks among households. Hazardous practices were observed, indicating significant risks to human health and the environment. For example, while 60% of households practiced solid waste segregation, only 15% implemented safe segregation practices, such as using separate bins, washing, and drying waste before storage, and using protective gloves and masks. The remaining 85% of households engaged in unsafe segregation practices, including mixing different waste types and storing wet and dry waste together without any protection. Additionally, 85% of households used leaky storage and transport containers, leading to potential contamination and infection.

Nevertheless, according to the risk level categorization by the World Health Organization (WHO), the findings indicated that a significant majority of households (88%) were classified as low risk. Conversely, 12% of households were categorized as having an intermediate risk level. Notably, no households were identified as having high or very high-risk scores.

Factor analysis was conducted to further examine sanitation safety practices and risks related to household solid waste management which helped to reduce the number of variables, categorize them into groups, and ascertain the significance of each variable in relation to the risks of sanitation safety at the household level ( Table 3 ). To determine the number of factors to retain, the eigenvalue-greater-than-one (1) retention criterion was utilized. Accordingly, six factors were retained, explaining approximately 60.6% of the overall variance. Conversely, the remaining ten factors were excluded as they collectively accounted for only about 39.9% of the total variance.

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Table 3 . Factor analysis—total variance explained.

The varimax rotation with Kaiser normalization identified six factors from the indicator variables. The four variables that loaded high on Factor 1 were related to “sanitation safety practices during onsite waste handling.” These variables were access to a solid waste collection service, proper onsite solid waste storage, waste segregation at home, and handwashing after waste handling. Factor 2 represented “failure to maintain proper sanitation safety standards in waste storage and safe waste handling.” The three variables that loaded high on this factor were mixing hazardous wastes with other wastes, unclean waste container, and hand contamination due to lack of handwashing. Factor 3 depicted “risks related to unsafe management of waste storage at household level”. The three variables that loaded high on this factor were emission of airborne particulates from poor sealing of waste storage containers, exposure to sanitation safety risks during primary collection, and poor waste storage at household level. Factor 4 indicated “failure to properly store wastes at household level.” The four variables that loaded high on this factor were lack of access to handwashing facilities, presence of scavenging animals and rodents at waste storage container, presence of flies/bad smell in the storage container, and presence of accumulated refuse near to the houses (20 m). Factor 5 described “having safe storage at house”. The four variables that loaded high on this factor were airborne particulates from poor sealing of waste storage containers, presence of flies/bad smell in the storage container, accumulated refuse near household, and leak-free closed container for onsite storage. Factor 6 reflected “Unsafe waste segregation and storage.” The two variables that loaded high on this factor were safe waste segregation practice and waste scattering/splashing from waste storage container (especially solid waste, urine, faeces, tissue) and contaminates surfaces.

3.2.2 Sanitation safety practices and risk at the waste collection and transport sites

The study employed a health risk assessment matrix to evaluate sanitation safety practices and risks in solid waste collection and transport across four operation areas (Akaki kality, Bole, Yeka, and Nifas Silk-Lafto sites). Fourteen sanitation safety risks/practices were identified, including waste droppings during transport, inadequate vehicle cleaning and disinfection, lack of personal protective equipment (PPE) for workers, and uncovered waste collection vehicles, leading to environmental contamination. Observations at the collection and transport sites highlighted risks faced by workers, such as the inability to shower after work, handling different waste types, feeling stressed and disrespected, and wearing dirty and damaged PPE. These factors posed high threats to human health and the environment.

3.2.3 Sanitation safety and risk at transfer stations

The study assessed sanitation safety practices and risks at four transfer stations. Thirteen diagnostic indicators were collected, all of which (100%) were identified as risk factors for safe solid waste management at the transfer stations. Risk factors included lack of protection from animals, scavengers, and human activities, absence of shower facilities for workers, inadequate facilities for washing boots and tools, absence of separate storage facilities for workers’ clothing and PPE, lack of odor-neutralizing systems, failure to practice “first-in, first-out” waste handling, absence of physical fly barriers, and workers not showering after work. All these factors were observed as the highest risk factors related to ineffective sanitation safety practices during solid waste management at the transfer stations.

3.2.4 Sanitation safety and risk at solid waste treatment/disposal site

The study assessed sanitation safety practices and risks at Reppi/Koshe solid waste disposal and recycling site. The study utilized a sanitary safety inspection checklist adapted from WHO and other sources to assess sanitation safety practices and risks associated with solid waste disposal and reuse. Out of the eleven sanitary safety assessment questions, nine (82%) were identified as risk factors for safe solid waste management at the Solid Waste Treatment/Disposal Site which is classified as “medium risk” to workers, the nearby community, and the environment as per the WHO semi quantitative risk score levels due to waste treatment/disposal operations. Risk factors at the disposal site included working without personal protective clothing, handling contaminated containers and raw waste, splashing contaminated waste on operators, and releasing airborne particulates that could be inhaled by operators or the nearby community. Table 4 shows the summary of risk levels of sanitation safety practices along the solid waste management service chain evaluated by standard risk scores based sanitary inspection questions (SIQ).

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Table 4 . Summary of the risk levels of sanitation safety practices along the solid waste management service chain.

3.3 The association between sanitation safety practices and sociodemographic factors

Multiple linear regression was conducted to determine if the dependent variable shows a linear relationship with the independent variables (Socio demographic variables) ( Table 5 ). Correlation analysis was conducted to examine the strength of relationship between independent and outcome variables. It is observed that gender, marital status, education, occupation, and income are highly correlated. The multiple linear regression analysis shows that marital status, education, occupation, and income of the respondent are significant ( p < 0.05). More specifically, income and marital status have the highest contribution to applying sanitation safety practices during onsite waste handling; whereas occupation had the lowest contribution as indicated in a standardized beta coefficient column ( Table 5 ).

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Table 5 . Multiple linear regression analysis of sanitation safety practices and sociodemographic characteristics of the households.

4 Discussion

The Our study’s results reflect a scenario where the majority of households exhibit intermediate risk in their waste management practices. This intermediate risk category suggests that while some waste management measures are in place, they are insufficient to mitigate potential adverse effects. Such practices include sporadic waste collection, improper disposal methods, and a lack of waste segregation, all of which contribute to increased risks of health and environmental degradation. This finding aligns with previous research conducted in developing countries, which similarly reports suboptimal waste management practices and the associated risks ( Srivastava et al., 2015 ; Mmereki et al., 2016 ; Serge Kubanza and Simatele, 2020 ).

For instance, studies in urban areas of developing countries frequently highlight challenges such as inadequate waste collection infrastructure, limited recycling facilities, and inefficient waste disposal practices ( Wilson and Velis, 2014 ). These deficiencies often result in health risks such as the spread of infectious diseases, including cholera and respiratory infections, and environmental problems such as soil and water contamination, as noted by several researchers ( Hoornweg and Bhada-Tata, 2012 ; Katiyar, 2016 ). The intermediate risk levels observed in our study reflect a similar pattern of inadequate waste management practices that have been documented globally.

The implications of these practices are profound. Poor waste management can lead to the accumulation of waste in public spaces, creating breeding grounds for vectors like mosquitoes and rodents, which can transmit diseases ( Akmal and Jamil, 2021 ). Furthermore, improper waste disposal can lead to the leaching of contaminants into groundwater and the emission of greenhouse gases from decomposing organic waste, both of which have long-term environmental consequences ( Kaza et al., 2018 ). The findings from this study are consistent with these observations, reinforcing the understanding that intermediate levels of risk in household waste management can have serious repercussions for public health and environmental sustainability.

Comparative analysis with similar research in developing countries reveals that our findings are part of a broader trend ( Wilson et al., 2012 ) which demonstrate that in many developing regions, the waste management systems are often inadequate due to infrastructural limitations, economic constraints, and insufficient regulatory frameworks. This study’s results contribute to a growing body of evidence indicating that without significant improvements in waste management practices, communities will continue to face health and environmental risks.

Socio-demographic factors, such as marital status, education, occupation, and income, were found to significantly influence sanitation safety practices. Married individuals tended to handle household waste more safely than single or divorced individuals. Income emerged as the most important factor for safe waste segregation and storage, as higher and middle-income households had better sanitation facilities and equipment. Education played a role in the safety of waste storage, as more educated individuals had greater awareness, knowledge, and access to information and technology for reducing sanitation risks. Occupation had the least impact on maintaining sanitation safety standards, with housewives, maids, and students being more exposed to unsafe waste handling practices than other professionals.

The findings align with a study conducted in the East Coast of Malaysia ( Fadhullah et al., 2022 ), which also identified income and marital status as significant influencers of sanitation safety practices. However, our study revealed a much lower percentage (15%) of households practicing safe waste segregation compared to the study in Malaysia. These differences may be attributed to socio-economic and cultural factors that influence waste management behaviors in different countries. Similarly, a study in Benin highlighted the influence of socio-demographic characteristics, including income, marital status, and education level, on adopting good hygiene and sanitation practices ( Sintondji et al., 2017 ). Our study is consistent with a study conducted in Bogotá, Colombia, which pointed out that low income and education levels impact households’ sanitation safety practices during solid waste management ( J Padilla and Trujillo, 2018 ).

Education emerged as a significant determinant contributing to household-level solid waste handling and transport. Better awareness of the risks associated with solid waste led to more careful and effective waste handling and transport practices. Households with higher education levels demonstrated greater awareness of the dangers of solid waste, as supported by evidence from various countries such as Malaysia ( Afroz, 2011 ; Al-Dailami et al., 2022 ) and Islamabad ( Anjum, 2013 ).

The findings from our study align with several other studies conducted globally. For instance, research in Benin highlighted the influence of socio-demographic characteristics, including income, marital status, and education level, on adopting good hygiene and sanitation practices ( Sintondji et al., 2017 ). The consistency of our findings with those from various regions underscores the universal impact of socio-demographic factors on waste management practices.

However, the disparities observed, such as the lower percentage of households practicing safe waste segregation in our study compared to Malaysia, suggest that socio-economic and cultural factors play a significant role in shaping waste management behaviors. These differences highlight the need for tailored interventions that consider the unique socio-demographic contexts of different communities.

Education emerged as a particularly significant determinant in enhancing household-level solid waste handling and transport. Households with higher education levels demonstrated a greater awareness of the risks associated with solid waste, leading to more careful and effective waste handling and transport practices. This finding is supported by evidence from multiple studies, which indicate that better-educated individuals are more likely to adopt safer sanitation practices due to their increased awareness and access to relevant information and technologies. The consistency of our findings with those from various regions underscores the universal impact of socio-demographic factors on waste management practices.

Education emerged as a particularly significant determinant in enhancing household-level solid waste handling and transport. Households with higher education levels demonstrated a greater awareness of the risks associated with solid waste, leading to more careful and effective waste handling and transport practices. This finding is supported by evidence from multiple studies, which indicate that better-educated individuals are more likely to adopt safer sanitation practices due to their increased awareness and access to relevant information and technologies ( Fadhullah et al., 2022 ; Habib, 2022 ).

The study also revealed unsafe and risky conditions during waste collection and transport operations, exposing workers to various risks. Inadequate access to personal protective equipment, sanitation facilities, and safe waste collection and transport equipment, along with low worker awareness of the risks associated with handling solid waste, contributed to these unsafe conditions. This finding is consistent with a study conducted in Alexandria, Egypt ( Abd El-Wahab et al., 2014 ) which identified municipal solid waste management as one of the most dangerous jobs, exposing households and workers to physical, biological, and chemical hazards and occupational-related morbidities.

At the transfer station, all thirteen diagnostic indicators were identified as risk factors, indicating that several factors negatively affect the service chain. The high risk scores for sanitation safety practices and risks at transfer stations reflect a poor solid waste management system. Inadequate facilities to prevent odors, waste scattering, waste scavengers, and protection for workers contribute to these risk factors. Studies have shown that inadequate and mismanaged waste transfer stations can have significant public health and environmental consequences ( Sarkhosh et al., 2017 ; Dixit et al., 2022 ). Similar findings have been reported in studies conducted in Addis Ababa ( Mohammed and Elias, 2017 ), North East of Tehran ( Daryabeigi Zand et al., 2019 ) and ( Nhubu et al., 2021 ) Harare, Zimbabwe which highlighted the associations between transfer stations near residential areas and adverse human health and environmental impacts, particularly regarding occupational health conditions.

Sanitation safety risk assessment during solid waste collection operations yielded a high-risk score of 14, indicating high risk levels ( Vimercati et al., 2016 ). Common risk factors along the sanitation service chain during collection and transport included waste dropping on the ground and scattering in the environment, leading to infections in humans and environmental contamination. The unhygienic condition of vehicles emerged as a major risk factor for worker and community contamination during solid waste collection and transport. Environmental impacts from collection and transport primarily arise from the operation of collection and transport vehicles ( Gupta et al., 2015 ), further emphasizing the risks posed to workers and the surrounding community. A study conducted in Ghana highlighted psychological stress and job satisfaction as significant factors ( Lissah et al., 2022 ; Tshivhase et al., 2022 ).

The study findings also revealed that 82% of sanitation safety standards were not followed during waste reuse/disposal operations, indicating significant risks associated with these practices. Workers and the nearby community are exposed to bad odors, direct contact with waste on the skin, handling contaminated containers and raw waste, and performing tasks without personal protective clothing. The reuse/disposal operations result in contaminated waste and leachate being splashed into the environment, posing serious risks to individuals. These findings are consistent with studies conducted in Darfur state, Sudan ( Adam et al., 2015 ), Freetown, Sierra ( Sankoh et al., 2013 ), Kolkata, India ( De and Debnath, 2016 ) and Umuahia, Nigeria ( Chibwe et al., 2021 ).

Overall, these findings emphasize the multifaceted nature of solid waste management issues, with socio-demographic factors, lack of adequate facilities, and unsafe practices contributing to significant health and environmental risks. Addressing these challenges requires a comprehensive approach, incorporating policy interventions, community education, and improved infrastructure to enhance sanitation safety practices and mitigate associated risks.

5 Conclusion

In conclusion, this study reveals significant deficiencies in sanitation safety practices throughout the entire solid waste management process, from households to waste collection and transport sites, transfer stations, and solid waste treatment/disposal sites. Hazardous practices were observed, posing risks to human health and the environment. Factors such as unsafe waste handling, inadequate storage, and improper waste segregation were identified as key contributors to these risks. To address these issues, it is recommended to implement targeted interventions. These include raising awareness among households about proper waste segregation and storage, enforcing regulations for regular cleaning and disinfection of waste collection vehicles, improving physical infrastructure at transfer stations, implementing proper waste handling practices at treatment/disposal sites, and establishing comprehensive policies and regulations alongside monitoring mechanisms. Tailoring interventions based on socio-demographic factors such as income, education, and marital status is essential to support vulnerable populations and improve waste management practices. Additionally, fostering international collaboration to exchange best practices adapted to local contexts is crucial. These proposed measures aim to enhance sanitation safety practices, mitigate health risks, and promote environmental sustainability. By addressing identified deficiencies through a coordinated approach, communities can establish safer and more effective solid waste management systems.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The study received ethical approval from the Ministry of Education National Research Ethics Review committee, in accordance with the Ethiopia National Research Ethics Review Guideline (Fifth Edition). Written informed consent was obtained from all participants who took part in the study, after explaining the purpose and significance of the research. Data collection proceeded only after obtaining fully informed verbal consent from the participants, and confidentiality measures were implemented to protect their privacy by excluding their names and personal identification information.

Author contributions

SS: Writing–original draft. SG: Writing–review and editing. AA: Writing–review and editing.

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

We would like to thank the experts from Addis Ababa Solid Waste Management Agency who helped us during the data collection process along the solid waste service chain.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fenve.2024.1414669/full#supplementary-material

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Keywords: municipal waste, sanitation chain, sanitation safety, solid waste, waste collection, waste disposal

Citation: Sisay SF, Gari SR and Ambelu A (2024) Solid waste management service chain and sanitation safety: a case study of existing practice in Addis Ababa, Ethiopia. Front. Environ. Eng. 3:1414669. doi: 10.3389/fenve.2024.1414669

Received: 09 April 2024; Accepted: 29 July 2024; Published: 09 August 2024.

Reviewed by:

Copyright © 2024 Sisay, Gari and Ambelu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shegaw Fentaye Sisay, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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