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Warehouse Item Picking: A P-dispersion Approach to Minimise Blocking

Author

Listed:
  • Alena Rybickova

    (Czech Technical University in Prague, Czechia)

  • Michal Drabek

    (Czech Technical University in Prague, Czechia)

  • Ondrej Jansky

    (Logio, Evropsk , Praha, Czechia)

  • Petra Skolilova

    (Czech Technical University in Prague, Czechia)

Abstract

No abstract is available for this item.

Suggested Citation

  • Alena Rybickova & Michal Drabek & Ondrej Jansky & Petra Skolilova, 2026. "Warehouse Item Picking: A P-dispersion Approach to Minimise Blocking," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 28(71), pages 273-273, February.
    • Handle: RePEc:aes:amfeco:v:28:y:2026:i:71:p:273
    as

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    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3512.pdf
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    References listed on IDEAS

    as
    1. van Gils, Teun & Ramaekers, Katrien & Caris, An & de Koster, René B.M., 2018. "Designing efficient order picking systems by combining planning problems: State-of-the-art classification and review," European Journal of Operational Research, Elsevier, vol. 267(1), pages 1-15.
    2. I. Douglas Moon & Sohail S. Chaudhry, 1984. "An Analysis of Network Location Problems with Distance Constraints," Management Science, INFORMS, vol. 30(3), pages 290-307, March.
    3. Yugang Yu & René B.M. Koster & Xiaolong Guo, 2015. "Class-Based Storage with a Finite Number of Items: Using More Classes is not Always Better," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1235-1247, August.
    4. Pratik Parikh & Russell Meller, 2009. "Estimating picker blocking in wide-aisle order picking systems," IISE Transactions, Taylor & Francis Journals, vol. 41(3), pages 232-246.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • L87 - Industrial Organization - - Industry Studies: Services - - - Postal and Delivery Services
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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