Strategic workforce planning for the Australian Defence Force

Mark E T Horn, Tarek Elgindy and Antonio Gomez-Iglesias
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Mark E T Horn: CSIRO Digital Productivity and Services Flagship, Sydney, Australia
Tarek Elgindy: Carnegie-Mellon University, Pittsburgh, USA
Antonio Gomez-Iglesias: The University of Texas at Austin, Austin, USA

Journal of the Operational Research Society, 2016, vol. 67, issue 4, 664-675

Abstract: This paper presents a mixed integer linear programming (MILP) model to aid in planning a large, hierarchically structured workforce. The workforce (eg, all Army commissioned officers) is classified by occupational group and rank and modelled in yearly intervals. Personnel and their movements are modelled as stocks and flows, subject to constraints representing employment conditions and resource limitations. The task is to estimate personnel numbers and flows so as to minimize a composite cost function. The model’s detailed fidelity to actual conditions, and hence its value in practice, clearly exceed previous efforts in the workforce planning domain. To overcome computational challenges that arose when an MILP solver was applied directly, the authors developed an iterative solution approach, which has yielded an attractive combination of solution quality and computational performance.

Date: 2016
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