Robust shift generation in workforce planning

Dori Hulst (), Dick Hertog and Wim Nuijten
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Dori Hulst: Blue Rock Logistics
Dick Hertog: Tilburg University
Wim Nuijten: Quintiq

Computational Management Science, 2017, vol. 14, issue 1, No 7, 115-134

Abstract: Abstract In this paper we apply robust optimization techniques to the shift generation problem in workforce planning. At the time that the shifts are generated, there is often much uncertainty in the workload predictions. We propose a model to generate shifts that are robust against this uncertainty. An adversarial approach is used to solve the resulting robust optimization model. In each iteration an integer nonlinear knapsack problem is solved to calculate the worst case workload scenario. We apply the approach to generate shifts in a real-life Air Traffic Controller workforce planning problem. The numerical results show the value of our approach.

Keywords: Robust optimization; Shift generation; Workforce planning (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10287-016-0265-2

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