Robust shift generation in workforce planning

D. van Hulst, D. den Hertog, W.P.M. Nuijten

    Research output: Contribution to journalArticleAcademicpeer-review

    3 Citations (Scopus)
    4 Downloads (Pure)


    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.

    Original languageEnglish
    Pages (from-to)115-134
    Number of pages20
    JournalComputational Management Science
    Issue number1
    Publication statusPublished - 1 Jan 2017


    • Robust optimization
    • Shift generation
    • Workforce planning


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