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Hybrid order picking: A simulation model of a joint manual and autonomous order picking system

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  • Winkelhaus, Sven
  • Zhang, Minqi
  • Grosse, E. H.
  • Glock, C. H.

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Suggested Citation

  • Winkelhaus, Sven & Zhang, Minqi & Grosse, E. H. & Glock, C. H., 2022. "Hybrid order picking: A simulation model of a joint manual and autonomous order picking system," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 131493, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Handle: RePEc:dar:wpaper:131493
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/131493/
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    File URL: https://www.sciencedirect.com/science/article/pii/S0360835222000511
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    Cited by:

    1. Dragan Djurdjević & Nenad Bjelić & Dražen Popović & Milan Andrejić, 2022. "A Combined Dynamic Programming and Simulation Approach to the Sizing of the Low-Level Order-Picking Area," Mathematics, MDPI, vol. 10(20), pages 1-23, October.
    2. Tutam, Mahmut & De Koster, René, 2024. "To walk or not to walk? Designing intelligent order picking warehouses with collaborative robots," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
    3. 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.

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