Risk control for staff planning in e-commerce warehouses

Susanne Wruck, Iris F A Vis*, Jaap Boter

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)
475 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)6453-6469
JournalInternational Journal of Production Research
Volume55
Issue number21
DOIs
Publication statusPublished - 2017

Keywords

  • decision support systems
  • e-commerce
  • risk management
  • staff planning
  • warehouse design

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