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In August 2016, the global procurement manager at Hu-Friedy Mfg. Co., LLC, a large U.S. dental equipment manufacturer, realized that materials were being transported between suppliers and production facilities without a consistent strategy—potentially costing the company thousands of dollars each year. To evaluate the company's transportation needs, the manager considered a range of alternatives, including buying or leasing a truck or hiring a third-party logistics (3PL) provider to manage the transportation. To complete his analysis, the manager needed to develop a new set of routes for pickups and deliveries, evaluate the costs associated with owning or leasing a truck, determine the costs of a 3PL provider, and ultimately determine the course of action that would have the most impact on transportation costs with the least impact on daily operations.

As part of a biennial supplier review, Jennifer Schramm, a purchasing manager in the cocoa and chocolate division at Cardinal Foods, had been considering several different cocoa cooperatives. She wanted to (1) source high-quality cocoa in the proper particle sizes, (2) source cocoa from environmentally and socially conscious producers, (3) keep the cost of cocoa sourcing as low as possible, and (4) not increase any reputational risks to the company. Information and data from three cooperatives is given to assist in making a recommendation. From an operations perspective, the purpose of the case is to teach the dual concepts of capability and natural variability. The case can be used as a lead-in to the concept of statistical process control. From an ethical sourcing perspective, the case addresses the complexities involved in making a principled decision in a global supply chain.

Student spreadsheet for case UV8036.

This note summarizes some important learnings from the study of behavioral economics of which service organizations should be aware in order to enhance customers' emotional experiences and help direct their decision making-in an ethical manner.

Agility is often mentioned but seldom defined or clearly illustrated. This case discusses UNICEF's response to the sudden disruption of its aid supply chain to Yemen after the bombing started in 2015. It illustrates how a forwarding hub was quickly established in Djibouti and dhow vessels were used to reach small Yemeni ports from there. The case analyzes the supply chain, the organizational and strategic aspects of agility and discusses how UNICEF can further develop its strategic agility as an organizational capability. It can be used in supply chain and strategy classes, as well as classes on change management and fast decision making processes in organizations. If you buy the case you will get access to all three parts, A, B, and C. Part A outlines the events leading up to the Yemen Crisis and presents the challenges faced by UNICEF. Part B then describes UNICEF's response to the crisis, and part C gives an analysis of this response. Parts B and C are restricted to instructors and only available on the dedicated case website https://cases.insead.edu/humanitarian-agility, but can be distributed to students as well.

Agility is often mentioned but seldom defined or clearly illustrated. This case discusses UNICEF's response to the sudden disruption of its aid supply chain to Yemen after the bombing started in 2015. It illustrates how a forwarding hub was quickly established in Djibouti and dhow vessels were used to reach small Yemeni ports from there. The case analyzes the supply chain, the organizational and strategic aspects of agility and discusses how UNICEF can further develop its strategic agility as an organizational capability. It can be used in supply chain and strategy classes, as well as classes on change management and fast decision making processes in organizations. If you buy the case you will get access to all three parts, A, B, and C. Part A outlines the events leading up to the Yemen Crisis and presents the challenges faced by UNICEF. Part B then describes UNICEF's response to the crisis, and part C gives an analysis of this response. Parts B and C are restricted to instructors and only available on the dedicated case website https://cases.insead.edu/humanitarian-agility, but can be distributed to students as well.

Dooly County Doughnuts (DCD), a south Georgia based doughnut shop, faces capacity issues as its sales continue to grow. As its doughnuts continue to increase in popularity, DCD must gain a better understanding of its current operational capacity. The DCD case captures three key concepts: capacity analysis, batches/setup times, and Little's Law. In particular, the case works well as a first time introduction to Little's Law. This case is suitable for an undergraduate or MBA introductory operations course, and works well as exam case. The material fits particularly well in a course module on process analysis. An example sequence could include: Pancho's Burrito (OM-1555), NoBull Burger (OM-1479), Dooly County Doughnuts, Czech-Mate (OM-1390), and Stonehaven (HBS 696-048). The material could be complimented with activities such as the face game and a teaching note on process analysis (e.g., OM-1556).

The June 2017 news that e-commerce giant Amazon was paying $13.7 billion for organic supermarket chain Whole Foods precipitated a broad sell-off in the shares of grocery retailers and suppliers. Behind the precipitous declines lay recognition that Amazon's bold move into brick and mortar assets offered transformational opportunities. Amazon could gain expertise in perishable product sales and procurement, plus access to 30 million well-off shoppers and 463 grocery stores in key U.S. markets. Whole Foods could absorb Amazon's technology and process expertise to modernize and reduce its operating costs, which were among the highest in the industry. For grocery retailers and suppliers, the deal portended increased competitive pressures in a saturated market. As 2018 dawned, all parties were assessing the deal's implications. Had the stock market overreacted to news of the deal? Why was Amazon buying Whole Foods? What were the long-term implications of the deal for the food value chain?

In 2016, the deputy general manager of operations at DVMS Power Electronics Private Limited (DVMS) in Gujarat, India, was faced with a problem at the company's transformer plant. In recent years, amidst growing demand, the company had experienced low manufacturing capacity and was often unable to fill customer orders. Various stakeholders expressed their concerns about failing service levels. The deputy general manager was considering additional capacity as an option, but simply adding such capacity might negatively affect DVMS' cost structure. He needed to consider the various short- and long-term options that would best benefit the company. He assigned the company's summer intern the task of collecting the required data regarding the manufacturing of transformers at DVMS: the specified number of machines and workers, the processing time, and the monthly demand data for transformers. He needed to prepare a report that identified weak areas and suggested possible ways to expand capacity.

In 2016, the supply chain director of B-Kay Tech, a multinational company headquartered in Belgium, had devised a logistics innovation project based on collaborative shipping, through which partner companies’ shipments could be proactively bundled in the same transport—without traditional, reactive third-party groups. With this system, any available space in one company’s transport facility could be utilized to transport shipments for the other company, reducing the overall number of trucks used and positively impacting greenhouse gas emissions. For this collaboration, the director had identified a potential partner in WARE-TOUCH, a U.K.-based multinational company that produced and distributed everyday consumer goods throughout Europe and the Middle East. The supply chain director at B-Kay Tech had to propose a gainsharing mechanism to convince WARE-TOUCH that a collaboration between the two companies would have been beneficial.

Spreadsheet to accompany product 8B17D017.

Supplement to case UV7389. This case, a follow-up to "Anna Pessah: Lean Thinking at Summit Funding (A)" (UVA-OM-1569), contains answers from Anna Pessah about her operations improvement challenges at Summit Funding and what actually happened.

In January 2017, the owner of Re-Matt Inc. (Re-Matt), a mattress recycling operation, was considering the way forward for the business he had developed in the city of Calgary, Alberta. Re-Matt was a unique enterprise in Alberta where municipalities, both urban and rural, had been categorizing mattresses as waste, and sending them to landfills for disposal, for decades. Re-Matt's business was diverting used mattresses from landfills and recycling them by routing their individual components back into the economic streams and recovering value. The company had reached an annual revenue of CA$500,000 in just two years. Its owner was now weighing his options with respect to scaling up Re-Matt's operations, as well as trying to identify ways of differentiating Re-Matt from its potential competition.

COLIN, a producer of garment care products headquartered in Santa Barbara, California, was working with a large U.S. retailer to produce the Bristol, an innovative garment steamer that the retailer wanted to launch for the 2017 U.S. Thanksgiving season. To meet that deadline, COLIN would have one month less than was typically needed to launch a new product. This launch date left COLIN with limited time for research and development, manufacturing, and marketing. Several managers at COLIN met to discuss the project, including how to choose the suppliers, whether to continue with an original equipment manufacturer model or move to an original design manufacturer model, how to ensure the product could be launched on time, and whether to use any of COLIN'S own core technologies. To make their decision, the managers needed to analyze several complicated issues.

In early 2016, the newly appointed recycling planning coordinator for an industry-leading food packaging and processing company, Tetra Pak International SA (Tetra Pak), was reviewing his company's recent success in creating a recycling chain in China. By 2015, Tetra Pak China had successfully created a recycling chain system, increasing China’s recycling rate from almost zero in 2004 to 28 per cent. It had done so by following a four-stage process: scanning the recycling market, building awareness and selecting partners, creating recycling capacity, and securing the recycling capacity. While the recycling planning coordinator was pleased with this recent success, he knew that questions remained: How could Tetra Pak continuously motivate recyclers to grow? How could Tetra Pak support recycling activities to achieve an even higher recycling rate? How could Tetra Pak achieve its recycling targets without much financial support?

In early 2016, the newly appointed recycling planning coordinator for an industry-leading food packaging and processing company, Tetra Pak International SA (Tetra Pak), was reviewing his company's recent success in creating a recycling chain in China. By 2015, Tetra Pak China had successfully created a recycling chain system, increasing China's recycling rate from almost zero in 2004 to 28 per cent. It had done so by following a four-stage process: scanning the recycling market, building awareness and selecting partners, creating recycling capacity, and securing the recycling capacity. While the recycling planning coordinator was pleased with this recent success, he knew that questions remained: How could Tetra Pak continuously motivate recyclers to grow? How could Tetra Pak support recycling activities to achieve an even higher recycling rate? How could Tetra Pak achieve its recycling targets without much financial support?

Mackenzie Spencer, vice president of operations at Strategic Consulting Group, must determine a staffing (the "S" word) plan for the upcoming year. She must balance the costs of overstaffing with those of understaffing in the face of uncertain demand for future services. Students can either determine a staffing plan based on the expected demand or by taking into account the uncertainty by simulating demand. This case was awarded second place in the 2017 Decision Sciences Institute case-writing competition. It is used at Darden in the first-year operations course as well as in the service operations elective. This case would also be suitable for use in a first-year decision analysis course or in an elective or course module covering optimization.

Student spreadsheet for case UV7359.