Optimal Multiproduct and Multiechelon Supply Chain Network Design
- Autores
- Montagna, Agustín Francisco; Cafaro, Diego Carlos
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This work proposes a novel approach for the optimal design of multiproduct supply chain networks (SCN). Through a mixed integer linear programming (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 intertwined 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 potentials and efficiency of the SCN designs obtained with the proposed approach.
Fil: Montagna, Agustín Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina - Materia
-
supply chain design
optimization
multiproduct
multiechelon - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/81779
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Optimal Multiproduct and Multiechelon Supply Chain Network DesignMontagna, Agustín FranciscoCafaro, Diego Carlossupply chain designoptimizationmultiproductmultiechelonhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1This work proposes a novel approach for the optimal design of multiproduct supply chain networks (SCN). Through a mixed integer linear programming (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 intertwined 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 potentials and efficiency of the SCN designs obtained with the proposed approach.Fil: Montagna, Agustín Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaUniversidad Federal de Santa Catarina (UFSC)2018-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/81779Montagna, Agustín Francisco; Cafaro, Diego Carlos; Optimal Multiproduct and Multiechelon Supply Chain Network Design; Universidad Federal de Santa Catarina (UFSC); Iberoamerican Journal of Industrial Engineering; 10; 20; 12-2018; 49-632175-8018CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/v10n2004info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:43:51Zoai:ri.conicet.gov.ar:11336/81779instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:43:51.968CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
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 Francisco supply chain design optimization multiproduct multiechelon |
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 Francisco Cafaro, Diego Carlos |
author |
Montagna, Agustín Francisco |
author_facet |
Montagna, Agustín Francisco Cafaro, Diego Carlos |
author_role |
author |
author2 |
Cafaro, Diego Carlos |
author2_role |
author |
dc.subject.none.fl_str_mv |
supply chain design optimization multiproduct multiechelon |
topic |
supply chain design optimization multiproduct multiechelon |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
This work proposes a novel approach for the optimal design of multiproduct supply chain networks (SCN). Through a mixed integer linear programming (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 intertwined 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 potentials and efficiency of the SCN designs obtained with the proposed approach. Fil: Montagna, Agustín Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina |
description |
This work proposes a novel approach for the optimal design of multiproduct supply chain networks (SCN). Through a mixed integer linear programming (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 intertwined 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 potentials and efficiency of the SCN designs obtained with the proposed approach. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/81779 Montagna, Agustín Francisco; Cafaro, Diego Carlos; Optimal Multiproduct and Multiechelon Supply Chain Network Design; Universidad Federal de Santa Catarina (UFSC); Iberoamerican Journal of Industrial Engineering; 10; 20; 12-2018; 49-63 2175-8018 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/81779 |
identifier_str_mv |
Montagna, Agustín Francisco; Cafaro, Diego Carlos; Optimal Multiproduct and Multiechelon Supply Chain Network Design; Universidad Federal de Santa Catarina (UFSC); Iberoamerican Journal of Industrial Engineering; 10; 20; 12-2018; 49-63 2175-8018 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/v10n2004 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidad Federal de Santa Catarina (UFSC) |
publisher.none.fl_str_mv |
Universidad Federal de Santa Catarina (UFSC) |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842268628609662976 |
score |
13.13397 |