Ekanayake, Chamath, Bandara, Yapa Mahinda, Chipulu, Maxwell ORCID: 0000-0002-0139-6188 and Chhetri, Prem (2023) An order fulfilment location planning model for perishable goods supply chains using population density. Supply Chain Analytics, 4:100045. pp. 1-21. ISSN 2949-8635 (Online) (doi:https://doi.org/10.1016/j.sca.2023.100045)

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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.

Item Type:	Article
Additional Information:	** Article version: AM ** From Elsevier via Jisc Publications Router ** History: accepted 12-10-2023; issued 16-10-2023. ** Licence for AM version of this article starting on 12-10-2023: http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords:	location planning; order fulfillment center; perishable goods supply chain; population density; borda count; multi-centrality score
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HB Economic Theory H Social Sciences > HF Commerce
Faculty / School / Research Centre / Research Group:	Faculty of Business
SWORD Depositor:	Users 6393 not found.
Last Modified:	17 May 2024 12:32
URI:	http://gala.gre.ac.uk/id/eprint/44500

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