IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v62y2011i1d10.1057_jors.2009.180.html
   My bibliography  Save this article

Space allocation and aisle positioning for an industrial pick-to-belt system

Author

Listed:
  • N Anken

    (Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT))

  • J-P Gagliardi

    (Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT)
    Laval University)

  • J Renaud

    (Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT)
    Laval University)

  • A Ruiz

    (Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT)
    Laval University)

Abstract

Distribution centres (DCs) are a key component in supply chains. In order to respond quickly to customer demands, most DCs use a fast-pick area where order picking can be executed efficiently. In these areas, the amount of space allocated to each product is of great importance, as it determines the number of replenishments required to guarantee product availability, thus avoiding interruptions in the order picking. The obvious assumption is that the performance of DCs could be improved by using simple strategies such as assigning more space to products having the highest demand. However, as this paper shows, the practical constraints related to the need for aisles granting safe and easy access to storage locations make designing fast-pick areas difficult. A parameter-free, two-phase algorithm based on product-adding heuristics combined with a space-reduction heuristic is proposed to solve this design problem. When applied to real data provided by our industrial partner, this heuristic generated considerable time savings.

Suggested Citation

  • N Anken & J-P Gagliardi & J Renaud & A Ruiz, 2011. "Space allocation and aisle positioning for an industrial pick-to-belt system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 38-49, January.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:1:d:10.1057_jors.2009.180
    DOI: 10.1057/jors.2009.180
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/jors.2009.180
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/jors.2009.180?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. van den Berg, Jeroen P. & Sharp, Gunter P. & Gademann, A. J. R. M. (Noud) & Pochet, Yves, 1998. "Forward-reserve allocation in a warehouse with unit-load replenishments," European Journal of Operational Research, Elsevier, vol. 111(1), pages 98-113, November.
    2. de Koster, Rene, 1994. "Performance approximation of pick-to-belt orderpicking systems," European Journal of Operational Research, Elsevier, vol. 72(3), pages 558-573, February.
    3. VAN DEN BER, Jeroen P. & SHARPG, Gunter P. & GADEMANN, A.J.R.M. (Noud) & POCHET, Yves, 1998. "Forward-reserve allocation in a warehouse with unit-load replenishments," LIDAM Reprints CORE 1404, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
    5. Gu, Jinxiang & Goetschalckx, Marc & McGinnis, Leon F., 2007. "Research on warehouse operation: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 177(1), pages 1-21, February.
    6. Cormier, Gilles & Gunn, Eldon A., 1992. "A review of warehouse models," European Journal of Operational Research, Elsevier, vol. 58(1), pages 3-13, April.
    7. Rouwenhorst, B. & Reuter, B. & Stockrahm, V. & van Houtum, G. J. & Mantel, R. J. & Zijm, W. H. M., 2000. "Warehouse design and control: Framework and literature review," European Journal of Operational Research, Elsevier, vol. 122(3), pages 515-533, May.
    8. Gagliardi, Jean-Philippe & Ruiz, Angel & Renaud, Jacques, 2008. "Space allocation and stock replenishment synchronization in a distribution center," International Journal of Production Economics, Elsevier, vol. 115(1), pages 19-27, September.
    9. Petersen, Charles G. & Aase, Gerald, 2004. "A comparison of picking, storage, and routing policies in manual order picking," International Journal of Production Economics, Elsevier, vol. 92(1), pages 11-19, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Grzegorz Tarczyński, 2023. "Linear programming models for optimal workload and batching in pick-and-pass warehousing systems," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(3), pages 141-158.
    2. Yang, Jingjing & de Koster, René B.M. & Guo, Xiaolong & Yu, Yugang, 2023. "Scheduling shuttles in deep-lane shuttle-based storage systems," European Journal of Operational Research, Elsevier, vol. 308(2), pages 696-708.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gagliardi, Jean-Philippe & Ruiz, Angel & Renaud, Jacques, 2008. "Space allocation and stock replenishment synchronization in a distribution center," International Journal of Production Economics, Elsevier, vol. 115(1), pages 19-27, September.
    2. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
    3. Dragan Djurdjević & Nenad Bjelić & Dražen Popović & Milan Andrejić, 2022. "A Combined Dynamic Programming and Simulation Approach to the Sizing of the Low-Level Order-Picking Area," Mathematics, MDPI, vol. 10(20), pages 1-23, October.
    4. Jiang, Min & Huang, George Q., 2022. "Intralogistics synchronization in robotic forward-reserve warehouses for e-commerce last-mile delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    5. Mowrey, Corinne H. & Parikh, Pratik J., 2014. "Mixed-width aisle configurations for order picking in distribution centers," European Journal of Operational Research, Elsevier, vol. 232(1), pages 87-97.
    6. Jiang, Min & Leung, K.H. & Lyu, Zhongyuan & Huang, George Q., 2020. "Picking-replenishment synchronization for robotic forward-reserve warehouses," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    7. Gu, Jinxiang & Goetschalckx, Marc & McGinnis, Leon F., 2010. "Research on warehouse design and performance evaluation: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 203(3), pages 539-549, June.
    8. Çelik, Melih & Archetti, Claudia & Süral, Haldun, 2022. "Inventory routing in a warehouse: The storage replenishment routing problem," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1117-1132.
    9. Giannikas, Vaggelis & Lu, Wenrong & Robertson, Brian & McFarlane, Duncan, 2017. "An interventionist strategy for warehouse order picking: Evidence from two case studies," International Journal of Production Economics, Elsevier, vol. 189(C), pages 63-76.
    10. Thomas Wensing & Michael G. Sternbeck & Heinrich Kuhn, 2018. "Optimizing case-pack sizes in the bricks-and-mortar retail trade," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 913-944, October.
    11. 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.
    12. Roodbergen, Kees Jan & Vis, Iris F.A., 2009. "A survey of literature on automated storage and retrieval systems," European Journal of Operational Research, Elsevier, vol. 194(2), pages 343-362, April.
    13. Vidal Vieira, José Geraldo & Ramos Toso, Milton & da Silva, João Eduardo Azevedo Ramos & Cabral Ribeiro, Priscilla Cristina, 2017. "An AHP-based framework for logistics operations in distribution centres," International Journal of Production Economics, Elsevier, vol. 187(C), pages 246-259.
    14. Çağla Cergibozan & A. Serdar Tasan, 2019. "Order batching operations: an overview of classification, solution techniques, and future research," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 335-349, January.
    15. van der Gaast, Jelmer Pier & Weidinger, Felix, 2022. "A deep learning approach for the selection of an order picking system," European Journal of Operational Research, Elsevier, vol. 302(2), pages 530-543.
    16. de Vries, Harwin & Carrasco-Gallego, Ruth & Farenhorst-Yuan, Taoying & Dekker, Rommert, 2014. "Prioritizing replenishments of the piece picking area," European Journal of Operational Research, Elsevier, vol. 236(1), pages 126-134.
    17. de Vries, H. & Carrasco-Gallego, R. & Farenhorst-Yuan, T. & Dekker, R., 2012. "Prioritizing Replenishments of the Forward Reserve," Econometric Institute Research Papers EI 2012-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. 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.
    19. De Santis, Roberta & Montanari, Roberto & Vignali, Giuseppe & Bottani, Eleonora, 2018. "An adapted ant colony optimization algorithm for the minimization of the travel distance of pickers in manual warehouses," European Journal of Operational Research, Elsevier, vol. 267(1), pages 120-137.
    20. Boysen, Nils & de Koster, René & Füßler, David, 2021. "The forgotten sons: Warehousing systems for brick-and-mortar retail chains," European Journal of Operational Research, Elsevier, vol. 288(2), pages 361-381.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jorsoc:v:62:y:2011:i:1:d:10.1057_jors.2009.180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.