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Formulating and solving the integrated batching, routing, and picker scheduling problem in a real-life spare parts warehouse

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  • van Gils, Teun
  • Caris, An
  • Ramaekers, Katrien
  • Braekers, Kris

Abstract

New market developments increase the complexity of managing order picking operations. Integrating order picking planning problems enables warehouse managers to organize order picking operations more efficiently. This paper provides a decision support tool that integrates and solves the three main operational order picking planning problems (i.e., order batching, picker routing, and picker scheduling). Different from other studies, the objective is to increase order picking efficiency while ensuring a high customer service level. The new integrated planning problem accounts for order due times, a limited availability of order pickers, as well as a high-level storage locations, to ensure the applicability in practice. An iterated local search algorithm is introduced to solve the problem effectively and efficiently. Moreover, a real-life case shows the substantial performance benefits gained from integrating batching, routing, and picker scheduling.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ejores:v:277:y:2019:i:3:p:814-830
    DOI: 10.1016/j.ejor.2019.03.012
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    Cited by:

    1. 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.
    2. Taniya Mukherjee & Isha Sangal & Biswajit Sarkar & Tamer M. Alkadash & Qais Almaamari, 2023. "Pallet Distribution Affecting a Machine’s Utilization Level and Picking Time," Mathematics, MDPI, vol. 11(13), pages 1-17, July.
    3. Briant, Olivier & Cambazard, Hadrien & Cattaruzza, Diego & Catusse, Nicolas & Ladier, Anne-Laure & Ogier, Maxime, 2020. "An efficient and general approach for the joint order batching and picker routing problem," European Journal of Operational Research, Elsevier, vol. 285(2), pages 497-512.
    4. Kaibo Liang & Li Zhou & Jianglong Yang & Huwei Liu & Yakun Li & Fengmei Jing & Man Shan & Jin Yang, 2023. "Research on a Dynamic Task Update Assignment Strategy Based on a “Parts to Picker” Picking System," Mathematics, MDPI, vol. 11(7), pages 1-29, March.
    5. Mustapha Haouassi & Yannick Kergosien & Jorge E. Mendoza & Louis-Martin Rousseau, 2022. "The integrated orderline batching, batch scheduling, and picker routing problem with multiple pickers: the benefits of splitting customer orders," Flexible Services and Manufacturing Journal, Springer, vol. 34(3), pages 614-645, September.
    6. Zhong, Shuya & Giannikas, Vaggelis & Merino, Jorge & McFarlane, Duncan & Cheng, Jun & Shao, Wei, 2022. "Evaluating the benefits of picking and packing planning integration in e-commerce warehouses," European Journal of Operational Research, Elsevier, vol. 301(1), pages 67-81.
    7. Ponte, Borja & Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2022. "The implications of batching in the bullwhip effect and customer service of closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 244(C).
    8. Laura Korbacher & Katrin Heßler & Stefan Irnich, 2023. "The Single Picker Routing Problem with Scattered Storage: Modeling and Evaluation of Routing and Storage Policies," Working Papers 2302, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    9. Kuhn, Heinrich & Schubert, Daniel & Holzapfel, Andreas, 2021. "Integrated order batching and vehicle routing operations in grocery retail – A General Adaptive Large Neighborhood Search algorithm," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1003-1021.
    10. Heiko Diefenbach & Simon Emde & Christoph H. Glock & Eric H. Grosse, 2022. "New solution procedures for the order picker routing problem in U-shaped pick areas with a movable depot," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 535-573, June.
    11. Shandong Mou, 2022. "Integrated Order Picking and Multi-Skilled Picker Scheduling in Omni-Channel Retail Stores," Mathematics, MDPI, vol. 10(9), pages 1-19, April.
    12. Çağla Cergibozan & A. Serdar Tasan, 2022. "Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 137-149, January.
    13. Jamili, Negin & van den Berg, Pieter L. & de Koster, René, 2022. "Quantifying the impact of sharing resources in a collaborative warehouse," European Journal of Operational Research, Elsevier, vol. 302(2), pages 518-529.
    14. Xie, Lin & Li, Hanyi & Luttmann, Laurin, 2023. "Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses," European Journal of Operational Research, Elsevier, vol. 307(2), pages 713-730.

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