Course Scheduling Under Uncertainty for Defence Workforce Training

Trudy Lam, Vicky Mak-Hau, Kristan Pash

2023

Abstract

In this paper, we revisit a previously studied Defence course scheduling problem where trainees are allocated to course sessions, the Simultaneous Sequencing and Allocation Problem. The courses have a non-linear prerequisite structure, each course has a number of sessions, and each session has a class size limit. The uncertainty in the planning is due to a historical pass-rate associated with each course, and a trainee will not be able to proceed once s/he fails a course. We develop a simulation-based three-stage solution algorithm that optimises the scheduling for each scenario using integer programming. The way pass-rates are handled is different from previous approaches, and because of this, we are able to provide decision-makers with better insights on best-case, average-case, and worst-case outcomes.

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Paper Citation


in Harvard Style

Lam T., Mak-Hau V. and Pash K. (2023). Course Scheduling Under Uncertainty for Defence Workforce Training. In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: WAPAT, ISBN 978-989-758-627-9, pages 269-278. DOI: 10.5220/0011924200003396


in Bibtex Style

@conference{wapat23,
author={Trudy Lam and Vicky Mak-Hau and Kristan Pash},
title={Course Scheduling Under Uncertainty for Defence Workforce Training},
booktitle={Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: WAPAT,},
year={2023},
pages={269-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011924200003396},
isbn={978-989-758-627-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: WAPAT,
TI - Course Scheduling Under Uncertainty for Defence Workforce Training
SN - 978-989-758-627-9
AU - Lam T.
AU - Mak-Hau V.
AU - Pash K.
PY - 2023
SP - 269
EP - 278
DO - 10.5220/0011924200003396