Case studies

A toy retailer plans to order a new product from an untested supplier for the winter holiday season. This exercise provides an opportunity for students to construct a model to determine optimal order quantity when demand is not known. Profits are calculated based on wholesale pricing, revenue-sharing, profit-sharing, and buyback contracts.

A time-limited encounter with a busy venture capitalist offers the reader, as entrepreneur, the opportunity to “pitch” an idea to a noted dealmaker. Designed for use as a management-communications or personal-selling exercise for students and others who believe they possess an entrepreneurial opportunity requiring early-stage financing, this case may be used to explore investor networks and expectations, business-plan “executive summaries,” and the role of venture associates and other deal “influencers.” It may be used as the basis for an oral examination or a business-plan competition.

This case describes the process that entrepreneur Paul Farrow went through to establish his kayak company between 1992 and 1996. After being laid off from a more traditional corporate position, Farrow came across an idea that suited his business skills, experience, and values. The case chronicles the steps he took to be the first in the industry to design and produce an inexpensive, high-performance recreational kayak from recycled plastic materials. Key to Walden Paddlers' $1-million sales in 1995 was the company's ability to forge close alliances with key suppliers and customers while keeping fixed costs down by managing a virtual corporation.

This case introduces a framework for cost modeling. Two data sets (one for injection-molded plastic parts and another for compressors) allow students to apply the cost-driver framework in conjunction with basic spreadsheet and regression analyses. Although obviously applicable in a course on supply chain management, the case can also be used to teach competitive cost analysis for strategic decision making.

The strategic and tactical problems of managing the operations function in a service environment can be examined through the context of the Walt Disney Company (DIS) opening Shanghai Disneyland. The company and its investors were excited about the Shanghai opening for a good reason: demographics. The resort would be located in the Pudong district of Shanghai, easily the wealthiest of all of China’s districts. A massive 330 million people lived with a three-hour driving radius of the resort site, compared with 19.6 million who lived within the same radius at DIS’s most profitable park, Walt Disney World in Orlando, Florida. Still, risks remained. Construction complications had delayed the opening almost a year longer than expected and cost overruns and alterations had increased the final price tag of the project. The Chinese economy had also hit a rough patch following the Chinese stock market slump in the summer of 2015. With the world watching, could the classic Disney theme park experience be delivered with the right cultural balance to appeal to its largely Chinese customers? Could DIS get it right?

In this case, a senior business analyst at the online travel agency Trek-ation struggles with the decision of whether to pursue a potentially lucrative idea. Her innovation team had proposed revising the online pricing algorithm in order to use the cookies and other information from customers’ web browser to customize pricing for flights and hotels. Although she wanted to increase revenue for the company and meet her targets, she was also concerned not only about the backlash if this tactic was revealed to the public but also, more importantly, about both the fairness of this practice and the violation of customer privacy norms.

Pancho’s Burritos is a high-end fast-food restaurant located in Charlottesville, Virginia. Due to a recent surge in customers, the lines at the restaurant during peak hours are becoming very long and causing excessive customer waiting. To improve current customer wait times and plan for future growth requirements, Francisco “Pancho” Escoba, the proprietor, wants to get a better understanding of the current operational capacity. The key decision Escoba must make is how to redesign his burrito-making process to increase the capacity and reduce customer wait time.

Suitable for an undergraduate or MBA course, the case can be used in an introductory operations course to teach capacity analysis and queuing. The case provides a relatable and understandable setting for students without an operations background to gain a better grasp of basic course concepts and illustrates how interactions between capacity and queuing affect one another. As an exam or review case it works well because it contains standard process calculations that all students should know how to perform.

In an effort to save his business, Paul Marciano, the owner of Italian family restaurant Maria’s Ristorante, runs a number of experiments focused on improving the customer experience around his target customer segment. These experiments lead to a better understanding about his business and cause him to make specific changes to his business model that ultimately improve things across the board. The experiments are based on research from the academic literature on the use of behavioral variables to manage customer perceptions.

Two recently graduated MBA students are tasked with developing an ad-serving learning algorithm for a mobile ad-serving company. The case illustrates the way in which hypotheses can be tested in an A/B format or “horse race” in order to establish customer preferences and superior profitability. The case was written for a course elective covering hypothesis testing.

This case examines the queueing issues caused by the growth in popularity of one of the most visited Hindu temples in the world. On January 2, 2015, Ramesh and Vasantha Gupta visit Tirumala Venkateswara Temple, just a day after some 210,000 people crowded the 2,000-year-old site. The case describes the many enhancements that the temple administrator, Tirumala Tirupati Devasthanams (TTD), has implemented since its management of the temple complex began in 1932. The soaring popularity of the temple, however, has led to safety and comfort concerns for pilgrims. While challenging students to consider additional improvements that might benefit pilgrim throughput rate and time in the temple system, the case highlights the tension TTD must manage between maximizing efficiency and maintaining religious traditions. Additionally, the case demonstrates the importance of perceived waiting times in the management of queues.