A linearisation approach to solving a non-linear shelf space allocation problem with multi-oriented capping in retail store and distribution centre

• Autorzy: Czerniachowska Kateryna , Hernes Marcin , Lutosławski Krzysztof

Identyfikatory

DOI

10.37190/ord220403

• Języki publikacji: EN

Abstrakty

EN

Shelf space is one of the essential resources in logistic decisions. Order picking is the most time-consuming and labourintensive of the distribution processes in distribution centres. Current research investigates the allocation of shelf space on a rack in a distribution centre and a retail store. The retail store, as well as the distribution centre, offers a large number of shelf storage locations. In this research, multi-orientated capping as a product of the rack allocation method is investigated. Capping allows additional product items to be placed on the rack. We show the linearisation technique with the help of which the models with capping could be linearised and, therefore, an optimal solution could be obtained. The computational experiments compare the quality of results obtained by non-linear and linear models. The proposed technique does not increase the complexity of the initial non-linear problem.

Słowa kluczowe

EN

linear programming; shelf space allocation; retail store; distribution centre; order picking

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2022
• Tom: Vol. 32, No. 4
• Strony: 33--56
• Opis fizyczny: Bibliogr. 53 poz., rys.

Twórcy

autor

Czerniachowska Kateryna

• Department of Process Management, Wroclaw University of Economics and Business, Wrocław, Poland

• https://orcid.org/0000-0002-1808-6020

autor

Hernes Marcin

• Department of Process Management, Wroclaw University of Economics and Business, Wrocław, Poland

• https://orcid.org/0000-0002-3832-8154

autor

Lutosławski Krzysztof

• Department of Process Management, Wroclaw University of Economics and Business, Wrocław, Poland

• https://orcid.org/0000-0002-2978-1184

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).