Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study

Detalhes bibliográficos
Autor(a) principal: Cortinhal, M. J.
Data de Publicação: 2015
Outros Autores: Lopes, M. J., Melo, M. T.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/10675
Resumo: We address the problem of designing/redesigning a multi-echelon logistics network over multiple periods. Strategic decisions comprise opening new facilities and selecting their capacities from a set of available discrete sizes. Capacity expansion may occur more than once over the time horizon both at new locations and at existing facilities. In addition, logistics decisions involving supplier selection, procurement, production, and distribution of multiple products are to be made. The latter also involve the choice of transportation modes with limited capacities. Finally, a strategic choice between in-house manufacturing and a mixed approach with product outsourcing is to be taken. We propose a mixed-integer linear programming model and develop additional inequalities to enhance the original formulation. To gain insight into the complexity of the problem at hand, an extensive computational study is performed with randomly generated instances that are solved with standard mathematical optimization software. Useful managerial insights are derived from varying several parameters and analyzing the impact of different business strategies on various segments of the logistics network.
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spelling Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational studyLogistics network design/re-designMultiple periodsTransportation mode selectionProduct outsourcingMixed-integer linear programmingWe address the problem of designing/redesigning a multi-echelon logistics network over multiple periods. Strategic decisions comprise opening new facilities and selecting their capacities from a set of available discrete sizes. Capacity expansion may occur more than once over the time horizon both at new locations and at existing facilities. In addition, logistics decisions involving supplier selection, procurement, production, and distribution of multiple products are to be made. The latter also involve the choice of transportation modes with limited capacities. Finally, a strategic choice between in-house manufacturing and a mixed approach with product outsourcing is to be taken. We propose a mixed-integer linear programming model and develop additional inequalities to enhance the original formulation. To gain insight into the complexity of the problem at hand, an extensive computational study is performed with randomly generated instances that are solved with standard mathematical optimization software. Useful managerial insights are derived from varying several parameters and analyzing the impact of different business strategies on various segments of the logistics network.Elsevier2016-01-14T16:57:16Z2015-01-01T00:00:00Z20152019-05-13T12:16:44Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10071/10675eng0360-835210.1016/j.cie.2015.08.019Cortinhal, M. J.Lopes, M. J.Melo, M. T.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:46:12Zoai:repositorio.iscte-iul.pt:10071/10675Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:22:11.075481Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study
title Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study
spellingShingle Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study
Cortinhal, M. J.
Logistics network design/re-design
Multiple periods
Transportation mode selection
Product outsourcing
Mixed-integer linear programming
title_short Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study
title_full Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study
title_fullStr Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study
title_full_unstemmed Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study
title_sort Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study
author Cortinhal, M. J.
author_facet Cortinhal, M. J.
Lopes, M. J.
Melo, M. T.
author_role author
author2 Lopes, M. J.
Melo, M. T.
author2_role author
author
dc.contributor.author.fl_str_mv Cortinhal, M. J.
Lopes, M. J.
Melo, M. T.
dc.subject.por.fl_str_mv Logistics network design/re-design
Multiple periods
Transportation mode selection
Product outsourcing
Mixed-integer linear programming
topic Logistics network design/re-design
Multiple periods
Transportation mode selection
Product outsourcing
Mixed-integer linear programming
description We address the problem of designing/redesigning a multi-echelon logistics network over multiple periods. Strategic decisions comprise opening new facilities and selecting their capacities from a set of available discrete sizes. Capacity expansion may occur more than once over the time horizon both at new locations and at existing facilities. In addition, logistics decisions involving supplier selection, procurement, production, and distribution of multiple products are to be made. The latter also involve the choice of transportation modes with limited capacities. Finally, a strategic choice between in-house manufacturing and a mixed approach with product outsourcing is to be taken. We propose a mixed-integer linear programming model and develop additional inequalities to enhance the original formulation. To gain insight into the complexity of the problem at hand, an extensive computational study is performed with randomly generated instances that are solved with standard mathematical optimization software. Useful managerial insights are derived from varying several parameters and analyzing the impact of different business strategies on various segments of the logistics network.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01T00:00:00Z
2015
2016-01-14T16:57:16Z
2019-05-13T12:16:44Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/10675
url http://hdl.handle.net/10071/10675
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0360-8352
10.1016/j.cie.2015.08.019
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dc.publisher.none.fl_str_mv Elsevier
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