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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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    1. Subir Rao & Gajendra Adil, 2013. "Optimal class boundaries, number of aisles, and pick list size for low-level order picking systems," IISE Transactions, Taylor & Francis Journals, vol. 45(12), pages 1309-1321.
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    5. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
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    Cited by:

    1. Bortolini, Marco & Faccio, Maurizio & Ferrari, Emilio & Gamberi, Mauro & Pilati, Francesco, 2017. "Time and energy optimal unit-load assignment for automatic S/R warehouses," International Journal of Production Economics, Elsevier, vol. 190(C), pages 133-145.
    2. 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.
    3. Dobromir Herzog, 2021. "Human factor aspects in information security management in the traditional IT and cloud computing models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(2), pages 93-108.
    4. 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.
    5. Silva, Allyson & Roodbergen, Kees Jan & Coelho, Leandro C. & Darvish, Maryam, 2022. "Estimating optimal ABC zone sizes in manual warehouses," International Journal of Production Economics, Elsevier, vol. 252(C).

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