LSCM 6071 - Operations Research for Logistics3 hours
Focuses on operations research (OR) techniques published in top-tier OR journals and their applications in leading logistics and supply chain management journals. Deterministic (e.g., mathematical programming) and stochastic (e.g., reliability theory and queueing theory) techniques are studied with a focus on delineating between optimal and heuristic techniques (e.g., genetic algorithms and simulated annealing). Real-world, industry problems and supporting data are used to further validate the application of OR techniques to the discipline of logistics and supply chain management. Analytical tools such as MatLab and SPSS are used. The overall pedagogical approach is that of discovery learning, learning by doing, and learning through discussion and debate. Review of published research in the disciplines associated with the modeling and analysis of logistics and physical distribution (movement and storage) systems. Literature chosen for analysis includes both the theoretical background and practical application of the most common analytical tools used in optimizing various characteristics of logistics systems. Two basic modeling approaches are investigated: closed form or analytical (optimization) and simulation (sensitivity to parameters) in pursuit of both “exact” and “heuristic” solutions. Focus is methodological; however, it spans a broad variety of topical areas.
Prerequisite(s): None.
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