The impact of food perishability issues in the vehicle routing problem

Detalhes bibliográficos
Autor(a) principal: Pedro Amorim
Data de Publicação: 2014
Outros Autores: Bernardo Almada-Lobo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/3516
http://dx.doi.org/10.1016/j.cie.2013.11.006
Resumo: Highly perishable food products can lose an important part of their value in the distribution process. We propose a novel multi-objective model that decouples the minimization of the distribution costs from the maximization of the freshness state of the delivered products. The main objective of the work is to examine the relation between distribution scenarios and the cost-freshness trade-off. Small size instances adapted from the vehicle routing problem with time windows are solved with an epsilon-constraint method and for large size instances a multi-objective evolutionary algorithm is implemented. The computational experiments show the conflicting nature of the two objectives.
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spelling The impact of food perishability issues in the vehicle routing problemHighly perishable food products can lose an important part of their value in the distribution process. We propose a novel multi-objective model that decouples the minimization of the distribution costs from the maximization of the freshness state of the delivered products. The main objective of the work is to examine the relation between distribution scenarios and the cost-freshness trade-off. Small size instances adapted from the vehicle routing problem with time windows are solved with an epsilon-constraint method and for large size instances a multi-objective evolutionary algorithm is implemented. The computational experiments show the conflicting nature of the two objectives.2017-11-20T10:35:26Z2014-01-01T00:00:00Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/3516http://dx.doi.org/10.1016/j.cie.2013.11.006engPedro AmorimBernardo Almada-Loboinfo:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-12T02:22:35Zoai:repositorio.inesctec.pt:123456789/3516Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:58:20.474728Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv The impact of food perishability issues in the vehicle routing problem
title The impact of food perishability issues in the vehicle routing problem
spellingShingle The impact of food perishability issues in the vehicle routing problem
Pedro Amorim
title_short The impact of food perishability issues in the vehicle routing problem
title_full The impact of food perishability issues in the vehicle routing problem
title_fullStr The impact of food perishability issues in the vehicle routing problem
title_full_unstemmed The impact of food perishability issues in the vehicle routing problem
title_sort The impact of food perishability issues in the vehicle routing problem
author Pedro Amorim
author_facet Pedro Amorim
Bernardo Almada-Lobo
author_role author
author2 Bernardo Almada-Lobo
author2_role author
dc.contributor.author.fl_str_mv Pedro Amorim
Bernardo Almada-Lobo
description Highly perishable food products can lose an important part of their value in the distribution process. We propose a novel multi-objective model that decouples the minimization of the distribution costs from the maximization of the freshness state of the delivered products. The main objective of the work is to examine the relation between distribution scenarios and the cost-freshness trade-off. Small size instances adapted from the vehicle routing problem with time windows are solved with an epsilon-constraint method and for large size instances a multi-objective evolutionary algorithm is implemented. The computational experiments show the conflicting nature of the two objectives.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01T00:00:00Z
2014
2017-11-20T10:35:26Z
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dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/3516
http://dx.doi.org/10.1016/j.cie.2013.11.006
url http://repositorio.inesctec.pt/handle/123456789/3516
http://dx.doi.org/10.1016/j.cie.2013.11.006
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