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A simulation-based comparison of two goods-to-person order picking systems in an online retail setting

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  • Yavuz A. Bozer
  • Francisco J. Aldarondo

Abstract

Design and analysis of order picking systems continues to be an active topic of interest both in academia and practice, especially in light of the significant increase in online retail sales. In this paper, we examine two types of well-known, goods-to-person order picking systems, namely, a miniload system and a Kiva system. Using a simulation model, we compare the performance of the two systems on the basis of expected throughput and expected container retrieval times to process the same set of customer orders. We also discuss some of the advantages and limitations of the two systems.

Suggested Citation

  • Yavuz A. Bozer & Francisco J. Aldarondo, 2018. "A simulation-based comparison of two goods-to-person order picking systems in an online retail setting," International Journal of Production Research, Taylor & Francis Journals, vol. 56(11), pages 3838-3858, June.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:11:p:3838-3858
    DOI: 10.1080/00207543.2018.1424364
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    Cited by:

    1. Pantano, Eleonora & Pizzi, Gabriele, 2020. "Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    2. Snežana Tadić & Mladen Krstić & Svetlana Dabić-Miletić & Mladen Božić, 2023. "Smart Material Handling Solutions for City Logistics Systems," Sustainability, MDPI, vol. 15(8), pages 1-26, April.
    3. Rieder, Mathias & Breitmayer, Marius, 2022. "Object detection in picking: Handling variety of a warehouse's articles," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 67-90, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. 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).
    5. 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.
    6. Gharehgozli, Amir & Zaerpour, Nima, 2020. "Robot scheduling for pod retrieval in a robotic mobile fulfillment system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    7. Zhang, Jingran & Onal, Sevilay & Das, Sanchoy, 2020. "The dynamic stocking location problem – Dispersing inventory in fulfillment warehouses with explosive storage," International Journal of Production Economics, Elsevier, vol. 224(C).
    8. Xie, Lin & Thieme, Nils & Krenzler, Ruslan & Li, Hanyi, 2021. "Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems," European Journal of Operational Research, Elsevier, vol. 288(1), pages 80-97.
    9. Emilio Moretti & Elena Tappia & Martina Mauri & Marco Melacini, 2022. "A performance model for mobile robot-based part feeding systems to supermarkets," Flexible Services and Manufacturing Journal, Springer, vol. 34(3), pages 580-613, September.
    10. Bingqian WANG & Xiuqing YANG & Mingyao QI, 2023. "Order and rack sequencing in a robotic mobile fulfillment system with multiple picking stations," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 509-547, June.
    11. Merschformann, M. & Lamballais, T. & de Koster, M.B.M. & Suhl, L., 2019. "Decision rules for robotic mobile fulfillment systems," Operations Research Perspectives, Elsevier, vol. 6(C).
    12. 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.

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