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A review on stochastic models and analysis of warehouse operations

Author

Listed:
  • Yeming Gong

    (EM - EMLyon Business School)

  • René de Koster

    (Erasmus University Rotterdam)

Abstract

This paper provides an overview of stochastic research in warehouse operations. We identify uncertainty sources of warehousing systems and systematically present typical warehouse operations from a stochastic system viewpoint. Stochastic modeling methods and analysis techniques in existing literature are summarized, along with current research limitations. Through a comparison between potential and existing stochastic warehouse applications, we identify potential new research applications. Furthermore, by comparing potential and existing solution methods, methodological directions relevant to practice and largely unexplored in warehouse literature are identified.

Suggested Citation

  • Yeming Gong & René de Koster, 2011. "A review on stochastic models and analysis of warehouse operations," Post-Print hal-02312651, HAL.
    • Handle: RePEc:hal:journl:hal-02312651
    DOI: 10.1007/s12159-011-0057-6
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    Citations

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    Cited by:

    1. Ren, Shuyun & Choi, Tsan-Ming & Lee, Ka-Man & Lin, Lei, 2020. "Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    2. Shi, Ye & Yu, Yugang & Dong, Yuxuan, 2021. "Warehousing platform’s revenue management: A dynamic model of coordinating space allocation for self-use and rent," European Journal of Operational Research, Elsevier, vol. 293(1), pages 167-176.
    3. van der Gaast, Jelmer Pier & Weidinger, Felix, 2022. "A deep learning approach for the selection of an order picking system," European Journal of Operational Research, Elsevier, vol. 302(2), pages 530-543.
    4. Boysen, Nils & de Koster, René & Weidinger, Felix, 2019. "Warehousing in the e-commerce era: A survey," European Journal of Operational Research, Elsevier, vol. 277(2), pages 396-411.
    5. I. Kudelska & G. Pawłowski, 2020. "Influence of assortment allocation management in the warehouse on the human workload," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(2), pages 779-795, June.
    6. Boysen, Nils & Schwerdfeger, Stefan & Stephan, Konrad, 2023. "A review of synchronization problems in parts-to-picker warehouses," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1374-1390.
    7. Boysen, Nils & de Koster, René & Füßler, David, 2021. "The forgotten sons: Warehousing systems for brick-and-mortar retail chains," European Journal of Operational Research, Elsevier, vol. 288(2), pages 361-381.
    8. 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.
    9. Reza Kiani Mavi & Mark Goh & Neda Kiani Mavi & Ferry Jie & Kerry Brown & Sharon Biermann & Ahmad A. Khanfar, 2020. "Cross-Docking: A Systematic Literature Review," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
    10. 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.
    11. Claeys, Dieter & Adan, Ivo & Boxma, Onno, 2016. "Stochastic bounds for order flow times in parts-to-picker warehouses with remotely located order-picking workstations," European Journal of Operational Research, Elsevier, vol. 254(3), pages 895-906.
    12. van Gils, Teun & Ramaekers, Katrien & Caris, An & de Koster, René B.M., 2018. "Designing efficient order picking systems by combining planning problems: State-of-the-art classification and review," European Journal of Operational Research, Elsevier, vol. 267(1), pages 1-15.
    13. Mourad Makaci & Paul J. Reaidy & Karine Evrard Samuel & Valérie Botta-Genoulaz & Thibaud Monteiro, 2017. "Pooled warehouse management : An empirical study," Post-Print hal-01531304, HAL.
    14. Liu, Jiawen & Gong, Yeming (Yale) & Zhu, Joe & Zhang, Jinlong, 2018. "A DEA-based approach for competitive environment analysis in global operations strategies," International Journal of Production Economics, Elsevier, vol. 203(C), pages 110-123.
    15. Izabela Kudelska & Rafal Niedbal, 2021. "The Impact of Organizational Change on the Improvement of the Picking Process in a Logistics Center – A Case Study," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 882-892.

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