Christopher Neuman, MS, BComm

ATS Full Lecturer, Alberta School of Business - Department of Accounting and Business Analytics

Fall Term 2021 (1770)

OM 461 - Distribution and Logistics Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

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. This course involves extensive computer modeling and heuristic design. Prerequisite: MGTSC 312 and OM 352.

LECTURE X01 (40958) Download syllabus
2021-09-01 - 2021-12-07
W 18:00 - 21:00 (BUS 3-06)


OM 661 - Distribution and Logistics Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

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.

LECTURE X01 (55934) Download syllabus
2021-09-01 - 2021-12-07
W 18:00 - 21:00 (BUS 3-06)

Winter Term 2022 (1780)

OM 461 - Distribution and Logistics Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

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. This course involves extensive computer modeling and heuristic design. Prerequisite: MGTSC 312 and OM 352.

LECTURE X50 (61040) Download syllabus
2022-01-05 - 2022-04-08
W 18:00 - 21:00 (BUS B-05)


OM 661 - Distribution and Logistics Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

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.

LECTURE X50 (61042) Download syllabus
2022-01-05 - 2022-04-08
W 18:00 - 21:00 (BUS B-05)