Robust shift generation in workforce planning

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

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1 Citaat (Scopus)

Uittreksel

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.

TaalEngels
Pagina's115-134
Aantal pagina's20
TijdschriftComputational Management Science
Volume14
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 1 jan 2017

Vingerafdruk

Planning
Controllers
Air
Uncertainty
Workforce planning
Workload
Robust optimization
Optimization techniques
Prediction
Scenarios
Knapsack problem
Optimization model
Integer
Controller

Trefwoorden

    Citeer dit

    van Hulst, D. ; den Hertog, D. ; Nuijten, W.P.M./ Robust shift generation in workforce planning. In: Computational Management Science. 2017 ; Vol. 14, Nr. 1. blz. 115-134
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    Robust shift generation in workforce planning. / van Hulst, D.; den Hertog, D.; Nuijten, W.P.M.

    In: Computational Management Science, Vol. 14, Nr. 1, 01.01.2017, blz. 115-134.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

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    van Hulst D, den Hertog D, Nuijten WPM. Robust shift generation in workforce planning. Computational Management Science. 2017 jan 1;14(1):115-134. Beschikbaar vanaf, DOI: 10.1007/s10287-016-0265-2