Ivey Business School (Canada)
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Mobile Blood Donor Clinic: A Discrete Event Simulation Model
Rasha Kashef; Felipe RodriguesCase IVEY-9B17E010-ECorporate GovernanceIn 2017, while donating blood on campus, a management science graduate student noticed that the mobile blood donor clinic set up at his university’s community centre was a congested tandem queuing system. Finding one-and-one-half hours too long for donors to wait, the student considered how the process could be reduced by at least half an hour. He needed to devise a reasonably precise model to represent the donor flow in the clinic. Using either ...Starting at €8.20
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A Student's Dilemma: Rent or Buy
Mehmet A. Begen; Caitlin Neal; Sabriya KarimCase IVEY-9B14E013-EInformation TechnologiesWhenever an investment is made, there are always costs and benefits. This case set in 2013 explores, based on quantitative and qualitative factors, a decision that a typical student at university might face. The decision to rent a house or purchase one in order to rent out the additional rooms is a difficult one. All of the pros and cons of each option need to be carefully considered. An Excel spreadsheet is available for students (see 7B14E013).Starting at €8.20
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LHSC Multi-Organ Transplant Program: Pooling Ontario's Kidney Transplant Wait-Lists
Fredrik Odegaard; Felipe RodriguesCase IVEY-9B18E020-EDecision AnalysisIn 2017, wait times for kidney transplants in Ontario were getting out of hand. While patients from London Health Sciences Centre’s kidney transplant program in London, Ontario, had a reasonable wait of approximately one year, patients in Toronto's kidney transplant program waited almost four years. In an attempt to improve the overall wait times for all Ontario patients, the provincial Ministry of Health intended to merge the two currently indep...Starting at €8.20
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South West Health Centre: Improving Patient Flow in the Intensive Care Unit
Rasha Kashef; Felipe RodriguesCase IVEY-9B19E007-EDecision AnalysisHospitals frequently deal with congestion and blockage that affects patient flow and increased costs. In 2018, at University Hospital, part of South West Health Centre, patient flow in the medical surgical intensive care unit seemed to be highly susceptible to congestion, and this was creating ripple effects throughout the hospital and leading to increased costs. The complexity of patient flow presented an opportunity to build a discrete-event si...Starting at €8.20
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Deloitte Recommends Client Selection to Regency Bank
Mehmet A. Begen; Stacey YueCase IVEY-9B11E005-ECorporate GovernanceA large financial institution has acquired a sizable portfolio of new clients of travel (corporate expense) cards. The bank must decide on the optimal mix of clients to retain in order to achieve the goals of maximizing profitability, entering a new product market successfully, and maintaining reputation. The optimal mix depends on a number of different factors, including annual account spending level, complexity of serving the account, the numbe...Starting at €8.20
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Mistral Energy: A Tale of Two Power Markets
Mehmet A. Begen; Andrew CornhillCase IVEY-9B14E011-ECorporate GovernanceMistral Energy is looking to build a $40 million power plant in close proximity to both the Alberta and Saskatchewan power markets. The Alberta market is deregulated and the price fluctuates hourly with supply and demand. The Saskatchewan market, on the other hand, is a regulated monopoly. Mistral Energy needs to understand into which market they should sell their power. Because the prices available in Saskatchewan are unknown, Mistral is particu...Starting at €8.20
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Hyrule Cinemas: Pricing Movies and Popcorn
Mehmet A. Begen; Robert CianfaraniCase IVEY-9B14E012-ECorporate Governance, EntrepreneurshipHyrule Cinemas is losing money quickly and its owner must take steps to rectify the problem. Using survey data and general information about the business, three types of analysis can be completed: Van Westendorp, conjoint, and a decision tree. These analyses will enable Hyrule Cinemas to make the best decision possible about price points and location, thereby helping the company to become profitable. A student spreadsheet is available (see 7B14E0...Starting at €8.20
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Food Truck Forecaster
Mehmet A. Begen; Jen Littleton; Samantha Wong; Rob YellinCase IVEY-9B16E033-EDecision AnalysisIn 2014, the owner of a food truck based in Hamilton, Ontario, was looking over the first year of her operations. In addition to working in Hamilton, she had tried to maximize her revenues by driving to several other cities and charging various prices for each burger, depending partly on the fresh ingredients available in each city. Besides location, the owner had collected data on a few other factors—the weather, the day of the week, the city’s ...Starting at €8.20