個案總覽

Dr. Arthur Pierre was responsible for developing a course schedule for the Business Analytics Department at Siena College. He needed to determine which professor would teach a particular class section in a particular time slot for the Spring 2020 semester. Pierre barely survived the last round of course scheduling due to the compressed delivery time from five weeks to three weeks in the previous cycle. This was one of his most sensitive and challenging responsibilities as he had to consider student demand, administrative requirements and faculty preferences in the process of developing a schedule. The importance of the decision and the stressful problems that he had encountered in adjusting to the new timeline necessitated a more systematic approach to scheduling since the shortened timeframe would be implemented for the foreseeable future. His ad hoc approach was too time consuming because he had to incorporate multiple factors into his course schedule and that often required reworking the entire schedule each time he encountered a conflict. In collaboration with a colleague, they identified a potential solution. They needed to prioritize constraints and build an integer linear optimization model.

A small oil and gas operator must make a decision about whether to drill in a particular location for oil. After significant geological research, the operator has narrowed the possible outcomes to four possible scenarios, one of which was a dry hole (no oil), and provided his best estimate of their respective likelihoods. Evaluating the prospect requires making long term estimates of both the rate of decline in oil production from the prospective formation and the likely price of crude oil over the coming two to three decades. The second of these was required since drilling expenses occur in the first year or two, but revenues from the wells was generated as oil was produced over decades. To help students frame the issue of future oil prices, the cases discussed issues related to the future global supply of, and demand for, oil.