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Robotic mobile fulfilment systems considering customer classes

Author

Listed:
  • Yeming Gong

    (EM - EMLyon Business School)

  • Mingzhou Jin

    (The University of Tennessee [Knoxville])

  • Zhe Yuan

    (EMLV - École de management Léonard de Vinci)

Abstract

This paper studies a Robotic Mobile Fulfilment System (RMFS), featured by a number of robots lifting and transporting movables storage shelves from storage grids to order pickers. In such systems, online retailers often classify their customers by two major classes ‘expedited shipping' and ‘standard shipping'. We build high-dimension Markov models to describe this system with customer classes, calculate the throughput of this system given the number of robots and provide design rules to determine the optimal number of robots and their capacities considering the trade-off between capacities of picker stations and robots. We verify the analytic results of Markov models with simulations. We further consider multiple-picker RMFS and study its optimal design.

Suggested Citation

  • Yeming Gong & Mingzhou Jin & Zhe Yuan, 2021. "Robotic mobile fulfilment systems considering customer classes," Post-Print hal-03188177, HAL.
    • Handle: RePEc:hal:journl:hal-03188177
    DOI: 10.1080/00207543.2020.1779370
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    Cited by:

    1. 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.
    2. Jianming Cai & Xiaokang Li & Yue Liang & Shan Ouyang, 2021. "Collaborative Optimization of Storage Location Assignment and Path Planning in Robotic Mobile Fulfillment Systems," Sustainability, MDPI, vol. 13(10), pages 1-26, May.

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