IDEAS home Printed from https://ideas.repec.org/a/wly/navres/v56y2009i5p389-403.html
   My bibliography  Save this article

Optimizing fishbone aisles for dual‐command operations in a warehouse

Author

Listed:
  • Letitia M. Pohl
  • Russell D. Meller
  • Kevin R. Gue

Abstract

Unit‐load warehouses store and retrieve unit‐loads, typically pallets. When storage and retrieval operations are not coordinated, travel is from a pickup and deposit (P&D) point to a pallet location and back again. In some facilities, workers interleave storage and retrieval operations to form a dual‐command cycle. Two new aisle designs proposed by Gue and Meller (“Improving the unit‐load warehouse.” In Progress in Material Handling Research: 2006. Material Handling Industry of America, Charlotte, NC, 2006) use diagonal aisles to reduce the travel distance to a single pallet location by approximately 10 and 20[percnt] for the two designs, respectively. We develop analytical expressions for travel between pallet locations for one of these—the fishbone design. We then compare fishbone warehouses that have been optimized for dual‐command to traditional warehouses that have been optimized in the same manner, and show that an optimal fishbone design reduces dual‐command travel by 10–15%. © 2009 Wiley Periodicals, Inc. Naval Research Logistics 54: 389–403, 2009

Suggested Citation

  • Letitia M. Pohl & Russell D. Meller & Kevin R. Gue, 2009. "Optimizing fishbone aisles for dual‐command operations in a warehouse," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(5), pages 389-403, August.
    • Handle: RePEc:wly:navres:v:56:y:2009:i:5:p:389-403
    DOI: 10.1002/nav.20355
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/nav.20355
    Download Restriction: no
    File URL: https://libkey.io/10.1002/nav.20355?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. Chen, Gang & Feng, Haolin & Luo, Kaiyi & Tang, Yanli, 2021. "Retrieval-oriented storage relocation optimization of an automated storage and retrieval system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    2. Li Zhou & Huwei Liu & Junhui Zhao & Fan Wang & Jianglong Yang, 2022. "Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse," Mathematics, MDPI, vol. 10(17), pages 1-28, September.
    3. Veslav Kuranovič & Edgar Sokolovskij & Darius Bazaras & Aldona Jarašūnienė & Kristina Čižiūnienė, 2023. "Estimating the Intensity of Cargo Flows in Warehouses by Applying Guanxi Principles," Sustainability, MDPI, vol. 15(23), pages 1-22, November.
    4. 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.

    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. Cambazard, Hadrien & Catusse, Nicolas, 2018. "Fixed-parameter algorithms for rectilinear Steiner tree and rectilinear traveling salesman problem in the plane," European Journal of Operational Research, Elsevier, vol. 270(2), pages 419-429.
    2. Le-Duc, T. & de Koster, M.B.M., 2004. "Travel Time Estimation and Order Barching in a 2-Block Warehouse," ERIM Report Series Research in Management ERS-2004-098-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.
    3. Sebastian Henn & André Scholz & Meike Stuhlmann & Gerhard Wäscher, 2015. "A New Mathematical Programming Formulation for the Single-Picker Routing Problem in a Single-Block Layout," FEMM Working Papers 150005, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    4. Katrin Heßler & Stefan Irnich, 2023. "Exact Solution of the Single Picker Routing Problem with Scattered Storage," Working Papers 2303, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    5. Vis, Iris F.A. & Roodbergen, Kees Jan, 2004. "Warehouse layout alternatives for varying demand situations," Serie Research Memoranda 0023, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    6. 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.
    7. Atashi Khoei, Arsham & Süral, Haldun & Tural, Mustafa Kemal, 2023. "Energy minimizing order picker forklift routing problem," European Journal of Operational Research, Elsevier, vol. 307(2), pages 604-626.
    8. Chen, Tzu-Li & Cheng, Chen-Yang & Chen, Yin-Yann & Chan, Li-Kai, 2015. "An efficient hybrid algorithm for integrated order batching, sequencing and routing problem," International Journal of Production Economics, Elsevier, vol. 159(C), pages 158-167.
    9. Yu, M. & de Koster, M.B.M., 2007. "Performance Approximation and Design of Pick-and-Pass Order Picking Systems," ERIM Report Series Research in Management ERS-2007-082-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.
    10. Bortolini, Marco & Faccio, Maurizio & Gamberi, Mauro & Manzini, Riccardo, 2015. "Diagonal cross-aisles in unit load warehouses to increase handling performance," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 838-849.
    11. 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.
    12. Sandra Hahn & André Scholz, 2017. "Order Picking in Narrow-Aisle Warehouses: A Fast Approach to Minimize Waiting Times," FEMM Working Papers 170006, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    13. Li, Xiaowei & Hua, Guowei & Huang, Anqiang & Sheu, Jiuh-Biing & Cheng, T.C.E. & Huang, Fengquan, 2020. "Storage assignment policy with awareness of energy consumption in the Kiva mobile fulfilment system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    14. Le-Duc, Tho & de Koster, Rene M.B.M., 2007. "Travel time estimation and order batching in a 2-block warehouse," European Journal of Operational Research, Elsevier, vol. 176(1), pages 374-388, January.
    15. Cheng, Chen-Yang & Chen, Yin-Yann & Chen, Tzu-Li & Jung-Woon Yoo, John, 2015. "Using a hybrid approach based on the particle swarm optimization and ant colony optimization to solve a joint order batching and picker routing problem," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 805-814.
    16. Grzegorz Tarczyński, 2012. "Analysis of the impact of storage parameters and the size of orders on the choice of the method for routing order picking," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(4), pages 105-120.
    17. Valle, Cristiano Arbex & Beasley, John E. & da Cunha, Alexandre Salles, 2017. "Optimally solving the joint order batching and picker routing problem," European Journal of Operational Research, Elsevier, vol. 262(3), pages 817-834.
    18. 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.
    19. Matusiak, Marek & de Koster, René & Saarinen, Jari, 2017. "Utilizing individual picker skills to improve order batching in a warehouse," European Journal of Operational Research, Elsevier, vol. 263(3), pages 888-899.
    20. Fangyu Chen & Hongwei Wang & Yong Xie & Chao Qi, 2016. "An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 389-408, April.

    More about this item

    Statistics

    Access and download statistics

    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:wly:navres:v:56:y:2009:i:5:p:389-403. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6750 .

    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.