Document Type

Article

Publication Date

2020

Abstract

This study aims to compare linear programming and stable marriage approaches to the personnel assignment problem under conditions of uncertainty. Robust solutions should exhibit reduced variability of solutions in the presence of one or more additional constraints or problem perturbations added to some baseline problems.
Several variations of each approach are compared with respect to solution speed, solution quality as measured by officer-to-assignment preferences and solution robustness as measured by the number of assignment changes required after inducing a set of representative perturbations or constraints to an assignment instance. These side constraints represent the realistic assignment categorical priorities and limitations encountered by army assignment managers who solve this problem semiannually, and thus the synthetic instances considered herein emulate typical problem instances.

Comments

© In accordance with section 105 of the US Copyright Act, this work has been produced by a US government employee and shall be considered a public domain work, as copyright protection is not available. Published in Journal of Defense Analytics and Logistics. Published by Emerald Publishing Limited.

Sourced from the published version of record cited below. Please provide proper credit to the authors in any re-use of the article.

DOI

10.1108/JDAL-08-2019-0015

Source Publication

Journal of Defense Analytics and Logistics

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