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Operations management.

Undergraduate and MBA OM courses.

Kiwanis International is a global service organization dedicated to improving the world by helping children. The Durant, Oklahoma chapter holds its primary annual fundraiser the first Tuesday of November, which is also Election Day. The chapter sells and serves fresh pancakes throughout the day; therefore, the event is the Kiwanis Pancake Day. While serving in his first Pancake Day, Robert Howard, a new Kiwanian, notices service operations management issues such as long lines, spiky demand, and customers leaving before being served. Based on his management experience in the grocery business and his academic training in queuing systems, Robert performs an analysis of the system with the purpose of improving service operations.

Perform queuing analysis., Understand demand management., Explain the psychology of waiting.

Teaching notes and spreadsheet–based multiple–server simulator.

Students should be able to: identify the elements of business processes; analyze efficiency measures; identify and define causes of poor efficiency in business process; analyze the results of a simulation model; propose process redesign alternatives based on the analysis; and acknowledge the challenges for improving public service processes.

The process to get a passport seems to be very simple, but Jose Hernandez, a Manufacturing Plant Director, has had bad experiences the past three times he has visited the passport office. He and his family have spent more than 3 h to get the passport for his little daughter, Maria. In this case, the authors illustrate the process analysis performed by Jose to find effective and efficient solutions to the problems that he found. The case study guides students through the analysis of a business process in public service from the perspective of the users. The students participating in the case analysis will not only learn to diagnose and describe the process but also to redesign it to achieve significant improvements. Furthermore, the students will realize that adding more resources to the process may not solve the fundamental issues, but analytical and creative skills are needed. In addition, the teaching notes provide a discussion about the existing challenges to improve public service processes.

Management and engineering undergraduate programs, operations management and business process design in Master of Business Administration programs.

Teaching Notes are available for educators only.

CSS 9: Operations and Logistics.

1. Probabilistic calculations of cost, and profit/loss using standard probability functions

2. Decision tree to find the expected monetary value (EMV) of different options.

3. Monte Carlo simulation for risk analysis.

4. Risk analysis in project management.

Learners will be able to understand and apply the following: how to approach uncertainty in business decisions using probabilistic calculations of cost, and profit/loss using standard probability functions; how to address uncertainty in business decisions by looking forward and reasoning backward, using the decision tree technique and the EMV of different decisions; how to analyse the risk inherent in business decisions by incorporating probability distributions for all critical variables in the form of Monte Carlo simulation; and appreciation of strategic considerations in risk analysis as it applies to project management

The case describes the challenge facing Vilas Birari, the owner and chief executive of Harsh Constructions, a construction company headquartered in Nasik, India. Birari had to decide on the bid for a construction project in September of 2021, during the COVID-19 (COVID) pandemic. Due to successive waves of the pandemic, the state and federal governments announced lockdowns intermittently, causing uncertainty in costs related to labor, material and project completion. The dilemma before Birari was how to set a bid price that was not so low as to incur a loss and not so high as to lose the bid to competitors. The uncertainty made Birari’s decision-making complex. The case invites students to help Birari find an optimum bid price by using various quantitative techniques, such as Monte Carlo simulation and decision trees.

This case is intended for students of management at a master’s level, in an elective course on management science, which is often also known as decision science. This compact case can be positioned in the second half of the course, when exploring risk management using computer simulation as a tool. The case serves both as an introduction to using simulation to manage uncertainty as well a contrast with simpler methods that are covered earlier in the course.

Teaching notes are available for educators only.

CSS 7: Management Science.

The i-AM Tablet is an evolving gadget in a world of fast-paced technological change. Facing a new partnership with a major customer, the market for the i-AM is about to explode! This case explores the innovative concept of Supply Chain Resilience as the CEO of i-AM, Inc, develops a strategic plan for expansion. This case is based on theory and practices evolved at the Dow Chemical Company.

This case builds on the case "Merck & Company: Product KL-798" (UVA-QA-0582) by providing market uncertainties for the drug (drug quality, the presence of a competitor, market growth, and the time to the drug's release). Student and faculty spreadsheets are provided for the calculation of net present values for the scenarios. There is an additional challenge of how to treat the several downstream decisions (using OptQuest, for example) and how to value the license opportunity. A teaching note is also available to registered faculty members.

The organizers of a music festival may use video from the Friday concert to create a DVD to sell to those who come to the Saturday concert. Attendance on Saturday is uncertain, as is the percentage of those who attend on Saturday who will buy the DVD. Is this a good project? If so, what number of DVDs should be burned early Saturday morning and offered for sale at that evening’s performance? By that time, Friday attendance is known, as well as whether it rained on Friday, and there is a forecast for whether it will rain on Saturday. Historical information on these variables may help us predict Saturday attendance using multiple regression; together with the results of a marketing survey, such analysis will help us make better purchasing decisions. This case series (see also the B case, UVA-QA-0708) can be used to illuminate a multitude of concepts that are covered in basic decision-analysis courses. The series starts by examining the role of uncertainty in decision-making, proceeds through the estimation of probability distributions from sample data with multiple regression, culminates in the development of a full decision model, and ends with a qualitative and quantitative analysis (with a tornado diagram) of how to add value and reduce risk. Key pitfalls for students are failing to recognize both limits on sales (supply and demand), incomplete reasoning in the determination of the attendance probability distribution, and oversimplifying the full forecast model.

Tom Feldman took a buyout from a large technology company and used part of the money to enroll in the MBA program of a reputed university in the metropolitan Houston, Texas area. While in the MBA program, Tom began evaluating potential businesses with the objective of identifying one that would suit his needs. As part of an MBA course in marketing, Tom put together a student team to conduct marketing research on an opportunity to open a party center in Houston. After his team completed the study, Tom had both financial and marketing data to make a decision about the launch.

Teaching case based on the primary research.

This case is suited for a marketing course at both the undergraduate and graduate levels.

Quality management among multiple business units of a large organization is often difficult if each unit is run independently in terms on their quality standards. In this case, participants will discuss how Bukhari Group of Companies should establish a common brand image through standardized quality. Participants should also understand that common brand image for diverse products does not mean identical level of rejection or customer complaints. It should be understood that different markets have different tolerance for product failures. The participants can chalk out the measures the protagonist of the case should be able to take to effectively steer the Bhukari Group to achieve profits and excellence.