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Picker Routing and Batching in Multi-Block Parallel-Aisle Warehouses: An Application from the Logistics Service Provider

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  • Ali Görener

    (Faculty of Business, Istanbul Ticaret University, 34445 Istanbul, Türkiye)

Abstract

Background: In today’s business world, where competition lies between supply chains, customer expectations are changing dynamically. Effective order picking in warehouses has become a top concern given expectations for rapid delivery, a larger product range, and continuous support. Methods: In this study, it is aimed to find a simultaneous solution to the problems of picker routing and order batching, which have an important place in order picking. A genetic algorithm-based solution with group-based coding is proposed to minimize the travel time of pickers. Results: A new set of equations for rectangular warehousing systems with three or more blocks (multi-blocks) is presented to directly determine the shortest distances between order points. It is found that the proposed solution methodology gives better results than traditional approaches. Conclusions: The study is expected to contribute to the improvement of order picking, which is the most costly and repetitive activity in warehouses, within the scope of practical and academic applications.

Suggested Citation

  • Ali Görener, 2025. "Picker Routing and Batching in Multi-Block Parallel-Aisle Warehouses: An Application from the Logistics Service Provider," Logistics, MDPI, vol. 9(1), pages 1-27, March.
    • Handle: RePEc:gam:jlogis:v:9:y:2025:i:1:p:40-:d:1611570
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    References listed on IDEAS

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