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The Picking and Packing Problem in Buy-Online-Pick-up-in-Store Retailing

In: Operations Research Proceedings 2021

Author

Listed:
  • Nicola Ognibene Pietri

    (University of Modena and Reggio Emilia)

  • Xiaochen Chou

    (University of Modena and Reggio Emilia)

  • Dominic Loske

    (Georg-August-University of Göttingen)

  • Matthias Klumpp

    (Georg-August-University of Göttingen)

  • Jafar Jamal

    (University of Modena and Reggio Emilia)

  • Roberto Montemanni

    (University of Modena and Reggio Emilia)

Abstract

With the rapid increase of digitization and desire for contactless shopping during the COVID-19 pandemic, online grocery sales keep growing fast. Correspondingly, optimized policies for order picking are nowadays central in omnichannel supply chains, not only within dedicated warehouses but also in grocery stores while processing online orders. In this work, we apply the Buy-Online-Pick-up-in-Store concept and optimize the in-store picking and packing procedure. The approach we propose, which is based on two mathematical programming models, guides pickers on how to organize articles into bags while collecting items. In this way bags are filled up evenly and they are ready to be handled to the customers at the end of each picking task, with no further rearrangement needed.

Suggested Citation

  • Nicola Ognibene Pietri & Xiaochen Chou & Dominic Loske & Matthias Klumpp & Jafar Jamal & Roberto Montemanni, 2022. "The Picking and Packing Problem in Buy-Online-Pick-up-in-Store Retailing," Lecture Notes in Operations Research, in: Norbert Trautmann & Mario Gnägi (ed.), Operations Research Proceedings 2021, pages 239-244, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-08623-6_36
    DOI: 10.1007/978-3-031-08623-6_36
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