Prescriptive analytics modeling of efficient distribution of goods and services from points of origin to customers. Topics include strategic decisions, such as aggregate distribution plans and warehouse location, as well as operational decisions, such as selection of delivery routes and dispatching. Formulation and solution of models to prescribe optimal decisions using exact and heuristic methods. The course involves extensive computer modeling and heuristic design. Prerequisite: MGTSC 501.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
| 10 |
2024-01-08 - 2024-04-12 (W)
18:00 - 21:00
BUS 1-10
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Primary Instructor: Christopher Neuman
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| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE X01
(50418) |
10 |
2024-09-03 - 2024-12-09 (W)
18:00 - 21:00
BUS 3-06
|
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| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE X50
(70235) |
10 |
2025-01-06 - 2025-04-09 (W)
18:00 - 21:00
BUS 1-06
|
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