Robust shift generation in workforce planning

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• 作者：Dori van Hulst ; Dick den Hertog ; Wim Nuijten
• 关键词：Robust optimization ; Shift generation ; Workforce planning
• 刊名：Computational Management Science
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：14
• 期：1
• 页码：115-134
• 全文大小：
• 刊物主题：Operation Research/Decision Theory; Optimization;
• 出版者：Springer Berlin Heidelberg
• ISSN：1619-6988
• 卷排序：14

文摘

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.