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Incorporating vertical travel into non-traditional cross aisles for unit-load warehouse designs

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  • Kirby Clark
  • Russell Meller

Abstract

This article proposes modifications to the travel-time models for non-traditional warehouse aisle layouts, Flying-V and Fishbone, by incorporating a vertical travel dimension. The resulting non-linear optimization models incorporate Chebychev travel within the picking aisles. The obtained shape of the aisle and the percent improvement for a traditional warehouse are compared with the results found in previous research that ignores vertical travel. It is shown that the percent improvement diminishes as the height of the rack increases, with Fishbone maintaining a higher percent improvement over Flying-V. It is also shown that while the shape of Flying-V can be considerably altered by considering vertical travel, the Fishbone layout often maintains its recommended shape regardless of the height of the rack. The article concludes with recommendations for effective implementation of these two designs.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:uiiexx:v:45:y:2013:i:12:p:1322-1331
    DOI: 10.1080/0740817X.2012.724188
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Cardona, Luis F. & Soto, Diego F. & Rivera, Leonardo & Martínez, Hector J., 2015. "Detailed design of fishbone warehouse layouts with vertical travel," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 825-837.
    5. van Gils, Teun & Caris, An & Ramaekers, Katrien & Braekers, Kris, 2019. "Formulating and solving the integrated batching, routing, and picker scheduling problem in a real-life spare parts warehouse," European Journal of Operational Research, Elsevier, vol. 277(3), pages 814-830.
    6. Shuyu Zhou & Yeming (Yale) Gong & René de Koster, 2016. "Designing self-storage warehouses with customer choice," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 3080-3104, May.
    7. 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.
    8. van Gils, Teun & Caris, An & Ramaekers, Katrien & Braekers, Kris & de Koster, René B.M., 2019. "Designing efficient order picking systems: The effect of real-life features on the relationship among planning problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 47-73.

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