An Order Fulfilment Location Planning Model for Perishable Goods Supply Chains Using Population Density

Ekanayake, Chamath; Bandara, Yapa Mahinda; Chipulu, Maxwell; Chhetri, Prem

Abstract

The increased frequency of purchases and growing distances between the final distribution points of the perishable products and consumers are contributing to multiple handling, high intermediation, and a greater concentration of outlets selling perishables goods. These in turn have increased logistics costs, and inefficient supply chain. This study presents a modelling framework for locating perishable goods order fulfilment centers (OFC) near the consumer by using population density as a proxy for demand. The centrality and Borda count measures are used to identify optimal locations in perishable goods supply chain networks. We present a case study to demonstrate the applicability and efficacy of the proposed density-based spatial methodology.

Citation

Ekanayake, C., Bandara, Y. M., Chipulu, M., & Chhetri, P. (2023). An Order Fulfilment Location Planning Model for Perishable Goods Supply Chains Using Population Density. Supply Chain Analytics, Article 100045. https://doi.org/10.1016/j.sca.2023.100045

• Journal Article Type: Article
• Acceptance Date: Oct 12, 2023
• Online Publication Date: Oct 16, 2023
• Publication Date: 2023-12
• Deposit Date: Oct 17, 2023
• Publicly Available Date: Oct 18, 2023
• Print ISSN: 2949-8635
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Article Number: 100045
• DOI: https://doi.org/10.1016/j.sca.2023.100045
• Keywords: Location planning, Order fulfillment center, Perishable goods supply chain, Population density, Multi-centrality indicator, Borda count