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Risk control for staff planning in e-commerce warehouses

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  • Susanne Wruck
  • Iris F.A. Vis
  • Jaap Boter

Abstract

Internet sale supply chains often need to fulfil quickly small orders for many customers. The resulting high demand and planning uncertainties pose new challenges for e-commerce warehouse operations. Here, we develop a decision support tool to assist managers in selecting appropriate risk policies and making staff planning decisions in uncertain conditions. Multistage stochastic modelling has been used to analyse risk optimisation approaches and expected value-based optimisation. Exhaustive numerical and practical validations have been performed to test the tool’s applicability. We demonstrate, using a Dutch e-commerce warehouse, that the multi-period conditional value at risk appears to be most applicable.

Suggested Citation

  • Susanne Wruck & Iris F.A. Vis & Jaap Boter, 2017. "Risk control for staff planning in e-commerce warehouses," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6453-6469, November.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:21:p:6453-6469
    DOI: 10.1080/00207543.2016.1207816
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    Cited by:

    1. Elisabeth Obermair & Andreas Holzapfel & Heinrich Kuhn, 2023. "Operational planning for public holidays in grocery retailing - managing the grocery retail rush," Operations Management Research, Springer, vol. 16(2), pages 931-948, June.
    2. van Gils, Teun & Caris, An & Ramaekers, Katrien & Braekers, Kris, 2019. "Formulating and solving the integrated batching, routing, and picker scheduling problem in a real-life spare parts warehouse," European Journal of Operational Research, Elsevier, vol. 277(3), pages 814-830.

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