Optimal Multiproduct and Multiechelon Supply Chain Network Design

Autores
Montagna, Agustín; Cafaro, Diego C.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This work proposes a novel approach for the optimal design of mul-tiproduct supply chain networks (SCN). Through a mixed integer linear pro-gramming (MILP) formulation the aim is to establish the structure of facilities that minimizes costs over the planning horizon, taking into account all the SCN's distinctive characteristics. We develop a generalized approach optimally determining the location of various types of facilities, multiproduct flows and demand fulfillment from any node in the network. This allows capturing the in-tertwined nature of decisions, leading to more efficient results. The proposed approach does not limit the number of echelons or layers. Instead, through a novel formulation, the optimal number of echelons is determined by the model, depending on the product to be supplied. To capture the economies of scale governing capital investments and operational costs, different types of facilities are proposed. Besides, the transportation expenses take different unitary costs according to the type of nodes being connected. Finally, the concept of waiting cost is introduced in order to capture the responsiveness of the SCN through the measurement of the time required to fulfill the clients’ demands. A case study with different demand patterns and data structures is addressed to assess the po-tentials and efficiency of the SCN designs obtained with the proposed approach.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Optimization
supply chain design
multiproduct
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/66262

id SEDICI_38c14a91bdf593663b77fed3c815403d
oai_identifier_str oai:sedici.unlp.edu.ar:10915/66262
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Optimal Multiproduct and Multiechelon Supply Chain Network DesignMontagna, AgustínCafaro, Diego C.Ciencias InformáticasOptimizationsupply chain designmultiproductThis work proposes a novel approach for the optimal design of mul-tiproduct supply chain networks (SCN). Through a mixed integer linear pro-gramming (MILP) formulation the aim is to establish the structure of facilities that minimizes costs over the planning horizon, taking into account all the SCN's distinctive characteristics. We develop a generalized approach optimally determining the location of various types of facilities, multiproduct flows and demand fulfillment from any node in the network. This allows capturing the in-tertwined nature of decisions, leading to more efficient results. The proposed approach does not limit the number of echelons or layers. Instead, through a novel formulation, the optimal number of echelons is determined by the model, depending on the product to be supplied. To capture the economies of scale governing capital investments and operational costs, different types of facilities are proposed. Besides, the transportation expenses take different unitary costs according to the type of nodes being connected. Finally, the concept of waiting cost is introduced in order to capture the responsiveness of the SCN through the measurement of the time required to fulfill the clients’ demands. A case study with different demand patterns and data structures is addressed to assess the po-tentials and efficiency of the SCN designs obtained with the proposed approach.Sociedad Argentina de Informática e Investigación Operativa2017-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf126-137http://sedici.unlp.edu.ar/handle/10915/66262enginfo:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SII/sii-12.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7542info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:41:55Zoai:sedici.unlp.edu.ar:10915/66262Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:41:56.143SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Optimal Multiproduct and Multiechelon Supply Chain Network Design
title Optimal Multiproduct and Multiechelon Supply Chain Network Design
spellingShingle Optimal Multiproduct and Multiechelon Supply Chain Network Design
Montagna, Agustín
Ciencias Informáticas
Optimization
supply chain design
multiproduct
title_short Optimal Multiproduct and Multiechelon Supply Chain Network Design
title_full Optimal Multiproduct and Multiechelon Supply Chain Network Design
title_fullStr Optimal Multiproduct and Multiechelon Supply Chain Network Design
title_full_unstemmed Optimal Multiproduct and Multiechelon Supply Chain Network Design
title_sort Optimal Multiproduct and Multiechelon Supply Chain Network Design
dc.creator.none.fl_str_mv Montagna, Agustín
Cafaro, Diego C.
author Montagna, Agustín
author_facet Montagna, Agustín
Cafaro, Diego C.
author_role author
author2 Cafaro, Diego C.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Optimization
supply chain design
multiproduct
topic Ciencias Informáticas
Optimization
supply chain design
multiproduct
dc.description.none.fl_txt_mv This work proposes a novel approach for the optimal design of mul-tiproduct supply chain networks (SCN). Through a mixed integer linear pro-gramming (MILP) formulation the aim is to establish the structure of facilities that minimizes costs over the planning horizon, taking into account all the SCN's distinctive characteristics. We develop a generalized approach optimally determining the location of various types of facilities, multiproduct flows and demand fulfillment from any node in the network. This allows capturing the in-tertwined nature of decisions, leading to more efficient results. The proposed approach does not limit the number of echelons or layers. Instead, through a novel formulation, the optimal number of echelons is determined by the model, depending on the product to be supplied. To capture the economies of scale governing capital investments and operational costs, different types of facilities are proposed. Besides, the transportation expenses take different unitary costs according to the type of nodes being connected. Finally, the concept of waiting cost is introduced in order to capture the responsiveness of the SCN through the measurement of the time required to fulfill the clients’ demands. A case study with different demand patterns and data structures is addressed to assess the po-tentials and efficiency of the SCN designs obtained with the proposed approach.
Sociedad Argentina de Informática e Investigación Operativa
description This work proposes a novel approach for the optimal design of mul-tiproduct supply chain networks (SCN). Through a mixed integer linear pro-gramming (MILP) formulation the aim is to establish the structure of facilities that minimizes costs over the planning horizon, taking into account all the SCN's distinctive characteristics. We develop a generalized approach optimally determining the location of various types of facilities, multiproduct flows and demand fulfillment from any node in the network. This allows capturing the in-tertwined nature of decisions, leading to more efficient results. The proposed approach does not limit the number of echelons or layers. Instead, through a novel formulation, the optimal number of echelons is determined by the model, depending on the product to be supplied. To capture the economies of scale governing capital investments and operational costs, different types of facilities are proposed. Besides, the transportation expenses take different unitary costs according to the type of nodes being connected. Finally, the concept of waiting cost is introduced in order to capture the responsiveness of the SCN through the measurement of the time required to fulfill the clients’ demands. A case study with different demand patterns and data structures is addressed to assess the po-tentials and efficiency of the SCN designs obtained with the proposed approach.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/66262
url http://sedici.unlp.edu.ar/handle/10915/66262
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SII/sii-12.pdf
info:eu-repo/semantics/altIdentifier/issn/2451-7542
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/4.0/
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/4.0/
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.format.none.fl_str_mv application/pdf
126-137
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1842260286310973440
score 13.13397