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A multi-dock, unit-load warehouse design

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  • Mahmut Tutam
  • John A. White

Abstract

Expected distance formulations are developed for a rectangle-shaped, unit-load warehouse having dock doors along one warehouse wall. Based on dock-door configurations treated in the literature and/or used in practice, three scenarios are considered: (i) equally spaced dock doors spanning a wall; (ii) equally spaced dock doors with a specified distance between adjacent dock doors, and an equal number of dock doors located on each side of the wall’s centerline; and (iii) equally spaced dock doors with a specified distance between adjacent dock doors and the first dock door located a given distance to the right of the left wall. Defining the shape factor as the warehouse width divided by its depth, the shape factor minimizing expected distance is determined. Single- and dual-command travel results from discrete formulations are compared with results from closed-form expressions using continuous approximations. The optimal shape factor depends on the number and locations of dock doors. When the distance between adjacent dock doors is a function of the warehouse’s width, previous research results are confirmed. However, when distances between adjacent dock doors are specified, our results differ from a commonly held belief the optimal shape factor is always less than or equal to 2.0.

Suggested Citation

  • Mahmut Tutam & John A. White, 2019. "A multi-dock, unit-load warehouse design," IISE Transactions, Taylor & Francis Journals, vol. 51(3), pages 232-247, March.
    • Handle: RePEc:taf:uiiexx:v:51:y:2019:i:3:p:232-247
    DOI: 10.1080/24725854.2018.1488307
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    Cited by:

    1. Tutam, Mahmut & White, John A., 2019. "Multi-dock unit-load warehouse designs with a cross-aisle," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 247-262.
    2. Wenquan Dong & Mingzhou Jin & Yanyan Wang & Peter Kelle, 2021. "Retrieval scheduling in crane-based 3D automated retrieval and storage systems with shuttles," Annals of Operations Research, Springer, vol. 302(1), pages 111-135, July.

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