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A hierarchical approach to warehouse design

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  • Timothy Sprock
  • Anike Murrenhoff
  • Leon F. McGinnis

Abstract

The design of large complex systems, such as warehouses, requires multiple experts and analyses as well as methods to organise and integrate their knowledge. While there are many models for optimising individual aspects of warehouses, there is not, today, a comprehensive design methodology that incorporates and supports all of the design decisions and provides a method to effectively integrate the solutions to these subproblems into a complete warehouse system specification. In this research, we propose a hierarchical design decision support methodology based on decomposing the design problem into a set of subproblems and using a formal model of the system to integrate the solutions to these subproblems. The methodology enables a thorough search of the design space and the identification of many candidate designs for consideration by the design decision maker. The hierarchical design methodology is demonstrated with an example of designing a forward pick area.

Suggested Citation

  • Timothy Sprock & Anike Murrenhoff & Leon F. McGinnis, 2017. "A hierarchical approach to warehouse design," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6331-6343, November.
  • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:21:p:6331-6343
    DOI: 10.1080/00207543.2016.1241447
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    Cited by:

    1. Dong, Wenquan & Jin, Mingzhou, 2024. "Automated storage and retrieval system design with variant lane depths," European Journal of Operational Research, Elsevier, vol. 314(2), pages 630-646.
    2. Ivan Derpich & Juan M. SepĂșlveda & Rodrigo Barraza & Fernanda Castro, 2022. "Warehouse Optimization: Energy Efficient Layout and Design," Mathematics, MDPI, vol. 10(10), pages 1-17, May.
    3. 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.

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