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Aisle designs in unit-load warehouses with different flow policies of multiple pickup and deposit points

Author

Listed:
  • Yeliz Kocaman

    (Yasar University)

  • Ömer Öztürkoğlu

    (Yasar University)

  • Şevkinaz Gümüşoğlu

    (Yasar University)

Abstract

This study focuses on investigating the best layouts of a unit-load warehouse for single-command operation. We propose a model for unit-load warehouses having a single cross aisle and multiple pickup & deposit (P&D) points located at the front side of the warehouse. The model is constructed in continuous space for single-command travel and allows the cross aisle and picking aisles to take any angle between 0 and π. We then search for the best aisle arrangements that minimize the expected single-command distance from a given varying number of P&D points under randomized storage policy. Additionally, we introduce three material flow policies to investigate the effect of usage density of P&D points on the design. We also investigate the effects of shape ratio on angles of aisles in the best designs. Last, we also solved a problem instance with unsymmetrically allocated P&D points to show how to use our proposed models. Therefore, we present that warehouses with width to depth ratio 3:1 are good for high number of P&D points. We also show that the best designs provide more savings in travel over the equivalent traditional design if flows are more concentrated around the central P&D point. The best-found designs also present that the single-command distance can be reduced to 8–20% based on the characteristics of the unit-load warehouse.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:cejnor:v:29:y:2021:i:1:d:10.1007_s10100-019-00646-9
    DOI: 10.1007/s10100-019-00646-9
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    References listed on IDEAS

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    1. Lisa M. Thomas & Russell D. Meller, 2014. "Analytical models for warehouse configuration," IISE Transactions, Taylor & Francis Journals, vol. 46(9), pages 928-947, September.
    2. Kevin Gue & Russell Meller, 2009. "Aisle configurations for unit-load warehouses," IISE Transactions, Taylor & Francis Journals, vol. 41(3), pages 171-182.
    3. Gue, Kevin R. & Ivanović, Goran & Meller, Russell D., 2012. "A unit-load warehouse with multiple pickup and deposit points and non-traditional aisles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 795-806.
    4. 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.
    5. Kirby Clark & Russell Meller, 2013. "Incorporating vertical travel into non-traditional cross aisles for unit-load warehouse designs," IISE Transactions, Taylor & Francis Journals, vol. 45(12), pages 1322-1331.
    6. Ömer Öztürkoğlu & Kevin Gue & Russell Meller, 2012. "Optimal unit-load warehouse designs for single-command operations," IISE Transactions, Taylor & Francis Journals, vol. 44(6), pages 459-475.
    7. 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.
    8. Letitia Pohl & Russell Meller & Kevin Gue, 2011. "Turnover-based storage in non-traditional unit-load warehouse designs," IISE Transactions, Taylor & Francis Journals, vol. 43(10), pages 703-720.
    9. A. Scholz & G. Wäscher, 2017. "Order Batching and Picker Routing in manual order picking systems: the benefits of integrated routing," 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. 25(2), pages 491-520, June.
    10. Rakesh Venkitasubramony & Gajendra K. Adil, 2016. "Analytical models for pick distances in fishbone warehouse based on exact distance contour," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4305-4326, July.
    11. Öztürkoğlu, Ö. & Gue, K.R. & Meller, R.D., 2014. "A constructive aisle design model for unit-load warehouses with multiple pickup and deposit points," European Journal of Operational Research, Elsevier, vol. 236(1), pages 382-394.
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    1. 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.

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