Items where Author is "Bandara, Yapa Mahinda"
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borda count
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)
location planning
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)
multi-centrality score
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)
order fulfillment center
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)
perishable goods supply chain
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)
population density
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)