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Analysis and optimal design of discrete order picking technologies along a line

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  • Donald D. Eisenstein

Abstract

Order picking accounts for most of the operating expense of a typical distribution center, and thus is often considered the most critical function of a supply chain. In discrete order picking a single worker walks to pick all the items necessary to fulfill a single customer order. Discrete order picking is common not only because of its simplicity and reliability, but also because of its ability to pick orders quickly upon receipt, and thus is commonly used by e‐commerce operations. There are two primary ways to reduce the cost (walking distance required) of the order picking system. First is through the use of technology—conveyor systems and/or the ability to transmit order information to pickers via mobile units. Second is through the design—where best to locate depots (where workers receive pick lists and deposit completed orders) and how best to lay out the product. We build a stochastic model to compare three configurations of different technology requirements: single‐depot, dual‐depot, and no‐depot. For each configuration we explore the optimal design. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008

Suggested Citation

  • Donald D. Eisenstein, 2008. "Analysis and optimal design of discrete order picking technologies along a line," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(4), pages 350-362, June.
  • Handle: RePEc:wly:navres:v:55:y:2008:i:4:p:350-362
    DOI: 10.1002/nav.20289
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    Cited by:

    1. Hengle Qin & Jun Xiao & Dongdong Ge & Linwei Xin & Jianjun Gao & Simai He & Haodong Hu & John Gunnar Carlsson, 2022. "JD.com: Operations Research Algorithms Drive Intelligent Warehouse Robots to Work," Interfaces, INFORMS, vol. 52(1), pages 42-55, January.
    2. Nikolaos Chondromatidis & Anastasios Gialos & Vasileios Zeimpekis, 2022. "Investigating the Performance of the Order-Picking Process by Using Smart Glasses: A Laboratory Experimental Approach," Logistics, MDPI, vol. 6(4), pages 1-26, December.
    3. Rao, Subir S. & Adil, Gajendra K. & Venkitasubramony, Rakesh, 2020. "On the expectation of the largest gap in a warehouse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    4. Nikolaos Chondromatidis & Anastasios Gialos & Vasileios Zeimpekis & Michael Madas, 2024. "Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments," Logistics, MDPI, vol. 8(1), pages 1-15, January.

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