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Order picker routing in warehouses: A systematic literature review

Author

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  • Masae, Makusee
  • Glock, Christoph H.
  • Grosse, Eric H.

Abstract

Order picking has often been described as one of the most labor- and time-consuming internal logistics processes. In manual picker-to-parts order picking systems, order pickers often spend a significant amount of time on travelling through the warehouse to reach storage positions where required items are stored. To reduce the cost of order picking, researchers have developed various optimal and heuristic routing policies in the past. This paper presents the results of a systematic review of research on order picker routing. First, it identifies order picker routing policies in a systematic search of the literature and then develops a conceptual framework for categorizing the various policies. Order picker routing policies identified during the literature search are then descriptively analyzed and discussed in light of the developed framework. The paper also derives insights into the frequencies of usage of the different routing policies available in the literature and applies a citation analysis to identify seminal works that shaped the literature on order picker routing. The paper concludes with an outlook on future research opportunities.

Suggested Citation

  • Masae, Makusee & Glock, Christoph H. & Grosse, Eric H., 2020. "Order picker routing in warehouses: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:proeco:v:224:y:2020:i:c:s0925527319304050
    DOI: 10.1016/j.ijpe.2019.107564
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    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2021. "Green vehicle routing problem: A state-of-the-art review," Post-Print hal-03182944, HAL.
    2. Rubio, Francisco & Llopis-Albert, Carlos & Valero, Francisco, 2021. "Multi-objective optimization of costs and energy efficiency associated with autonomous industrial processes for sustainable growth," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Massimo Bertolini & Davide Mezzogori & Francesco Zammori, 2023. "Enhancing Manual Order Picking through a New Metaheuristic, Based on Particle Swarm Optimization," Mathematics, MDPI, vol. 11(14), pages 1-37, July.
    4. 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.
    5. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    6. 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.
    7. 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.
    8. Masae, Makusee & Glock, Christoph H. & Vichitkunakorn, Panupong, 2021. "A method for efficiently routing order pickers in the leaf warehouse," International Journal of Production Economics, Elsevier, vol. 234(C).
    9. Onal, Sevilay & Zhu, Wen & Das, Sanchoy, 2023. "Order picking heuristics for online order fulfillment warehouses with explosive storage," International Journal of Production Economics, Elsevier, vol. 256(C).
    10. 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.
    11. Nikolaos Chondromatidis & Anastasios Gialos & Vasileios Zeimpekis, 2022. "Investigating the Performance of the Order-Picking Process by Using Smart Glasses: A Laboratory Experimental Approach," Logistics, MDPI, vol. 6(4), pages 1-26, December.
    12. 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.
    13. Zhang, Jiayuan & Yalcin, Mehmet G. & Hales, Douglas N., 2021. "Elements of paradoxes in supply chain management literature: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 232(C).
    14. Othmane Benmoussa, 2022. "Improving Replenishment Flows Using Simulation Results: A Case Study," Logistics, MDPI, vol. 6(2), pages 1-26, May.
    15. 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.
    16. Maria A. M. Trindade & Paulo S. A. Sousa & Maria R. A. Moreira, 2022. "Ramping up a heuristic procedure for storage location assignment problem with precedence constraints," Flexible Services and Manufacturing Journal, Springer, vol. 34(3), pages 646-669, September.
    17. Jose Alejandro Cano & Pablo Cortés & Jesús Muñuzuri & Alexander Correa-Espinal, 2023. "Solving the picker routing problem in multi-block high-level storage systems using metaheuristics," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 376-415, June.
    18. Cannas, Violetta Giada & Gosling, Jonathan, 2021. "A decade of engineering-to-order (2010–2020): Progress and emerging themes," International Journal of Production Economics, Elsevier, vol. 241(C).

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