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Modeling class-based storage assignment over life cycle picking patterns

Author

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  • Manzini, Riccardo
  • Accorsi, Riccardo
  • Gamberi, Mauro
  • Penazzi, Stefano

Abstract

This paper aims to introduce a new approach for the design and management of warehousing systems, which involves variable demand patterns in agreement with the life cycle of stock keeping units (SKUs). Two cost-based mixed integer linear programming (MILP) models are formulated to address both the technology selection, e.g. part-to-picker systems (as automated storage and retrieval systems – AS/RS, miniloads, etc.) and picker-to-part order picking systems, and the SKU assignment to the storage areas. In particular, a class based storage assignment over a life cycle picking metric is adopted. This metric is a rolling measure of popularity.

Suggested Citation

  • Manzini, Riccardo & Accorsi, Riccardo & Gamberi, Mauro & Penazzi, Stefano, 2015. "Modeling class-based storage assignment over life cycle picking patterns," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 790-800.
    • Handle: RePEc:eee:proeco:v:170:y:2015:i:pc:p:790-800
    DOI: 10.1016/j.ijpe.2015.06.026
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    References listed on IDEAS

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    Cited by:

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    4. van Gils, Teun & Ramaekers, Katrien & Braekers, Kris & Depaire, Benoît & Caris, An, 2018. "Increasing order picking efficiency by integrating storage, batching, zone picking, and routing policy decisions," International Journal of Production Economics, Elsevier, vol. 197(C), pages 243-261.
    5. Giannikas, Vaggelis & Lu, Wenrong & Robertson, Brian & McFarlane, Duncan, 2017. "An interventionist strategy for warehouse order picking: Evidence from two case studies," International Journal of Production Economics, Elsevier, vol. 189(C), pages 63-76.

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