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Analytical models for pick distances in fishbone warehouse based on exact distance contour

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  • Rakesh Venkitasubramony
  • Gajendra K. Adil

Abstract

The pick distance models for a unit load warehouse employing fishbone layout conventionally use semicircular approximation for distance contour which can result in significant error. This paper develops discrete and continuous pick distance models for fishbone layout under random, full turnover, and class-based storage policies based on exact polygonal distance contour. Class-based storage policy with three classes was found to give pick distance comparable to full turnover policy over a range of demand skews and warehouse shapes studied. The discrete and continuous models are compared considering finite storage space, aisle width and discontinues in the ABC curve for a real life data. The sensitivity of warehouse performance over a range of warehouse parameters is studied. We also outline a methodology for class-based storage design where class partitions can be derived for a warehouse of any dimension from the results of a unit area warehouse.

Suggested Citation

  • Rakesh Venkitasubramony & Gajendra K. Adil, 2016. "Analytical models for pick distances in fishbone warehouse based on exact distance contour," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4305-4326, July.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:14:p:4305-4326
    DOI: 10.1080/00207543.2016.1148277
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    References listed on IDEAS

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    6. Meir J. Rosenblatt & Amit Eynan, 1989. "Note---Deriving the Optimal Boundaries for Class-Based Automatic Storage/Retrieval Systems," Management Science, INFORMS, vol. 35(12), pages 1519-1524, December.
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    8. Letitia Pohl & Russell Meller & Kevin Gue, 2011. "Turnover-based storage in non-traditional unit-load warehouse designs," IISE Transactions, Taylor & Francis Journals, vol. 43(10), pages 703-720.
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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. Li Zhou & Zhaochan Li & Ning Shi & Shaohua Liu & Ke Xiong, 2019. "Performance Analysis of Three Intelligent Algorithms on Route Selection of Fishbone Layout," Sustainability, MDPI, vol. 11(4), pages 1-17, February.

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