Optimizing course scheduling with heterogenous resource constraints uncertain student demand

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Authors
  1. Eisler, C.
  2. Liu, M.J.
  3. Dobias, P.
Corporate Authors
Defence Research and Development Canada, Centre for Operational Research and Analysis, Ottawa ON (CAN)
Abstract
Planning and scheduling training courses across multiple occupations within the context of a small military is a complex task due to uncertain levels of demand and rapidly shifting requirements over time. Offering too many course sessions is resource intensive and may be unjustified or unaffordable from the resource perspective. On the other hand, if an insufficient number of sessions is offered, either some personnel will be not be trained or additional costs may be incurred to initiate additional last-minute sessions. Under the assumption that the historical attendance in courses is a valid predictor of demand at least in the near future, one can derive demand estimates. The objective can then be formulated as a minimization of the number of offered sessions while meeting the demand.
Keywords
Course Loading;Scheduling Optimization;Forecasting;Sub-Problem Independence
Report Number
DRDC-RDDC-2018-P061 — External Literature
Date of publication
01 Apr 2018
Number of Pages
10
DSTKIM No
CA045937
CANDIS No
806394
Format(s):
Electronic Document(PDF)

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