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Analytical models for warehouse configuration

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  • Lisa M. Thomas
  • Russell D. Meller

Abstract

The performance of a warehouse is impacted by how it is configured, yet there is no optimization model in the literature to answer the question of how to best configure the warehouse in terms of warehouse shape and the configuration of the dock doors. Moreover, the building blocks for such a model (put-away, replenishment, and order picking models that can be combined in an optimization model) are either not available (in the case of replenishment) or built on a set of inconsistent assumptions (in the case of put-away and order picking). Therefore, this article lays the foundation for more sophisticated warehouse configuration optimization models by developing the first analytical model for replenishment operation performance and extending put-away and order picking performance models. These new models are used to address a question motivated by industry: the optimal configuration of a case-picking warehouse in terms of the shape of the facility and whether the facility is configured with dock doors on one or both sides. An example is presented to demonstrate the use of the proposed models in answering such a question, quantifying the benefit of using an integrated approach to warehouse configuration.

Suggested Citation

  • Lisa M. Thomas & Russell D. Meller, 2014. "Analytical models for warehouse configuration," IISE Transactions, Taylor & Francis Journals, vol. 46(9), pages 928-947, September.
    • Handle: RePEc:taf:uiiexx:v:46:y:2014:i:9:p:928-947
    DOI: 10.1080/0740817X.2013.855847
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    Citations

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    Cited by:

    1. Yeliz Kocaman & Ömer Öztürkoğlu & Şevkinaz Gümüşoğlu, 2021. "Aisle designs in unit-load warehouses with different flow policies of multiple pickup and deposit points," 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. 29(1), pages 323-355, March.
    2. Glock, Christoph H. & Grosse, Eric H. & Abedinnia, Hamid & Emde, Simon, 2019. "An integrated model to improve ergonomic and economic performance in order picking by rotating pallets," European Journal of Operational Research, Elsevier, vol. 273(2), pages 516-534.
    3. Thomas, Lisa M. & Meller, Russell D., 2015. "Developing design guidelines for a case-picking warehouse," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 741-762.
    4. Derhami, Shahab & Smith, Jeffrey S. & Gue, Kevin R., 2020. "A simulation-based optimization approach to design optimal layouts for block stacking warehouses," International Journal of Production Economics, Elsevier, vol. 223(C).
    5. Ang, Marcus & Lim, Yun Fong, 2019. "How to optimize storage classes in a unit-load warehouse," European Journal of Operational Research, Elsevier, vol. 278(1), pages 186-201.
    6. Öztürkoğlu, Ömer & Hoser, Deniz, 2019. "A discrete cross aisle design model for order-picking warehouses," European Journal of Operational Research, Elsevier, vol. 275(2), pages 411-430.
    7. AERTS, Babiche & CORNELISSENS, Trijntje & SÖRENSEN, Kenneth, 2022. "The internal warehouse replenishment problem: the importance of storage and replenishment policies," Working Papers 2022007, University of Antwerp, Faculty of Business and Economics.
    8. Raj, G. & Roy, D. & de Koster, R. & Bansal, V., 2024. "Stochastic modeling of integrated order fulfillment processes with delivery time promise: Order picking, batching, and last-mile delivery," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1114-1128.
    9. Dijkstra, Arjan S. & Roodbergen, Kees Jan, 2017. "Exact route-length formulas and a storage location assignment heuristic for picker-to-parts warehouses," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 102(C), pages 38-59.

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