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Optimal placement of warehouse cross-aisles in a picker-to-part warehouse with class-based storage

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  • Paul Berglund
  • Rajan Batta

Abstract

Given a picker-to-part warehouse having a simple rectilinear aisle arrangement with north–south storage aisles and east–west travel aisles (or “cross-aisles”), this article investigates the optimal placement of the cross-aisles as a consequence of the probability mass function of the order pick points, as determined by the storage policy. That is, what placement of the cross-aisles will result in a minimal expected path length for the picker? An analytical solution procedure is developed for the optimal placement of a single middle cross-aisle for a given storage policy. A simplifying assumption is made as regards picker routing, but arbitrary non-random storage policies are considered. The solution procedure is generalized to a method for multiple cross-aisles. Some example problems are solved and a simulation study is used to measure the impact of the assumptions made to generate the method.

Suggested Citation

  • Paul Berglund & Rajan Batta, 2012. "Optimal placement of warehouse cross-aisles in a picker-to-part warehouse with class-based storage," IISE Transactions, Taylor & Francis Journals, vol. 44(2), pages 107-120.
    • Handle: RePEc:taf:uiiexx:v:44:y:2012:i:2:p:107-120
    DOI: 10.1080/0740817X.2011.578608
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    Cited by:

    1. Roy, Debjit & Krishnamurthy, Ananth & Heragu, Sunderesh & Malmborg, Charles, 2015. "Queuing models to analyze dwell-point and cross-aisle location in autonomous vehicle-based warehouse systems," European Journal of Operational Research, Elsevier, vol. 242(1), pages 72-87.
    2. Öztürkoğlu, Ömer & Hoser, Deniz, 2019. "A discrete cross aisle design model for order-picking warehouses," European Journal of Operational Research, Elsevier, vol. 275(2), pages 411-430.
    3. Subir S. Rao & Gajendra K. Adil, 2017. "Analytical models for a new turnover-based hybrid storage policy in unit-load warehouses," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 327-346, January.
    4. Fangyu Chen & Yongchang Wei & Hongwei Wang, 2018. "A heuristic based batching and assigning method for online customer orders," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 640-685, December.
    5. R. John Milne & Amy K. Zander, 2012. "Operations Research Capstone Courses for Business Majors with Analytical Backgrounds," INFORMS Transactions on Education, INFORMS, vol. 13(1), pages 2-9, September.

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