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Determining Number of Zones in a Pick-and-pack Orderpicking System

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  • Le-Duc, T.
  • de Koster, M.B.M.

Abstract

In this study we consider a pick-to-pack orderpicking system, in which batches of orders are picked simultaneously from different(work) zones by a group of order pickers. After picking, the orders are transported by a conveyor to the next station for packing. Our aim is to determine the optimal number of zones such that the overall (picking and packing) time to finish a batch is minimized. We solve this problem by optimally assigning items to pick routes in each zone. We illustrate the method with data taken from a distribution center of one of the largest online retailers in the Netherlands.

Suggested Citation

  • Le-Duc, T. & de Koster, M.B.M., 2005. "Determining Number of Zones in a Pick-and-pack Orderpicking System," ERIM Report Series Research in Management ERS-2005-029-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:6555
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    References listed on IDEAS

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    1. Warren H. Hausman & Leroy B. Schwarz & Stephen C. Graves, 1976. "Optimal Storage Assignment in Automatic Warehousing Systems," Management Science, INFORMS, vol. 22(6), pages 629-638, February.
    2. H. Donald Ratliff & Arnon S. Rosenthal, 1983. "Order-Picking in a Rectangular Warehouse: A Solvable Case of the Traveling Salesman Problem," Operations Research, INFORMS, vol. 31(3), pages 507-521, June.
    3. Jane, Chin-Chia & Laih, Yih-Wenn, 2005. "A clustering algorithm for item assignment in a synchronized zone order picking system," European Journal of Operational Research, Elsevier, vol. 166(2), pages 489-496, October.
    4. ,, 2004. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 20(2), pages 427-429, April.
    5. Gibson, David R. & Sharp, Gunter P., 1992. "Order batching procedures," European Journal of Operational Research, Elsevier, vol. 58(1), pages 57-67, April.
    6. Roodbergen, Kees Jan & de Koster, Rene, 2001. "Routing order pickers in a warehouse with a middle aisle," European Journal of Operational Research, Elsevier, vol. 133(1), pages 32-43, August.
    7. ,, 2004. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 20(1), pages 223-229, February.
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    Cited by:

    1. Jérémie Gallien & Théophane Weber, 2010. "To Wave or Not to Wave? Order Release Policies for Warehouses with an Automated Sorter," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 642-662, September.
    2. R de Koster & M Yu, 2008. "Minimizing makespan and throughput times at Aalsmeer flower auction," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1182-1190, September.
    3. Vasiliki Kapou & Stavros T. Ponis & George Plakas & Eleni Aretoulaki, 2022. "An Innovative Layout Design and Storage Assignment Method for Manual Order Picking with Respect to Ergonomic Criteria," Logistics, MDPI, vol. 6(4), pages 1-21, December.
    4. Yu, Mengfei & de Koster, René B.M., 2009. "The impact of order batching and picking area zoning on order picking system performance," European Journal of Operational Research, Elsevier, vol. 198(2), pages 480-490, October.
    5. de Koster, M.B.M. & Le-Duc, T. & Roodbergen, K.J., 2006. "Design and Control of Warehouse Order Picking: a literature review," ERIM Report Series Research in Management ERS-2006-005-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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    More about this item

    Keywords

    distribution; logistics; order fulfillment; orderpicking; warehousing; zone picking;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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