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

Nicola Ognibene Pietri, Xiaochen Chou, Dominic Loske, Matthias Klumpp, Jafar Jamal and Roberto Montemanni ()
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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

A chapter in Operations Research Proceedings 2021, 2022, pp 239-244 from Springer

Abstract: 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.

Keywords: In-store order picking and packing; Omnichannel grocery retailing; Mathematical programming (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-031-08623-6_36

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