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Automated order picking systems and the links between design and performance: a systematic literature review

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  • Yasmeen Jaghbeer
  • Robin Hanson
  • Mats Ingemar Johansson

Abstract

With new market developments and e-commerce, there is an increased use of and interest in automation for order picking. This paper presents a systematic review and content analysis of the literature. It has the purpose of understanding the relevant performance aspects for automated, or partly automated, OPSs and identifying the studied links between design and performance, i.e. identifying which combinations of design aspects and performance aspects have been studied in previous research. For this purpose, 74 papers were selected and reviewed. From the review, it is clear that there has been an increased number of papers dealing with the performance of automated, or partly automated, OPSs in recent years. Moreover, there are differences between the different OPS types, but, overall, the performance categories of throughput, lead time, and operational efficiency have received the most attention in the literature. The paper identifies links between design and performance that have been studied, as well as links that appear to be under-researched. For academics, this paper synthesises the current knowledge on the performance of automation in OPSs and identifies opportunities for future research. For practitioners, the paper provides knowledge that can support the decision-making process of automation in OPSs.

Suggested Citation

  • Yasmeen Jaghbeer & Robin Hanson & Mats Ingemar Johansson, 2020. "Automated order picking systems and the links between design and performance: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4489-4505, July.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:15:p:4489-4505
    DOI: 10.1080/00207543.2020.1788734
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    Cited by:

    1. 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.
    2. Zhuang, Yanling & Zhou, Yun & Yuan, Yufei & Hu, Xiangpei & Hassini, Elkafi, 2022. "Order picking optimization with rack-moving mobile robots and multiple workstations," European Journal of Operational Research, Elsevier, vol. 300(2), pages 527-544.
    3. Lam, H.Y. & Ho, G.T.S. & Mo, Daniel Y. & Tang, Valerie, 2023. "Responsive pick face replenishment strategy for stock allocation to fulfil e-commerce order," International Journal of Production Economics, Elsevier, vol. 264(C).
    4. Zhuang, Yanling & Zhou, Yun & Hassini, Elkafi & Yuan, Yufei & Hu, Xiangpei, 2024. "Improving order picking efficiency through storage assignment optimization in robotic mobile fulfillment systems," European Journal of Operational Research, Elsevier, vol. 316(2), pages 718-732.
    5. Yi Li & Zhiyang Li, 2022. "Shuttle-Based Storage and Retrieval System: A Literature Review," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    6. 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.
    7. Ding, Tianrong & Zhang, Yuankai & Wang, Zheng & Hu, Xiangpei, 2024. "Velocity-based rack storage location assignment for the unidirectional robotic mobile fulfillment system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    8. 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.
    9. Jiang, Min & Huang, George Q., 2022. "Intralogistics synchronization in robotic forward-reserve warehouses for e-commerce last-mile delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    10. Srinivas, Sharan & Yu, Shitao, 2022. "Collaborative order picking with multiple pickers and robots: Integrated approach for order batching, sequencing and picker-robot routing," International Journal of Production Economics, Elsevier, vol. 254(C).
    11. Nikola Pavlov & Dragan Đurdjević & Milan Andrejić, 2023. "A Novel Two-Stage Methodological Approach for Storage Technology Selection: An Engineering–FAHP–WASPAS Approach," Sustainability, MDPI, vol. 15(17), pages 1-20, August.

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