Simultaneous Production and Distribution of Industrial Gas Supply-Chains

Autores
Marchetti, Pablo Andres; Gupta, Vijay; Grossmann, Ignacio E.; Cook, Lauren; Valton , Pierre Marie; Singh, Tejinder; Li, Tong; André, Jean
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, we propose a multi-period mixed-integer linear programming model for optimal enterprise-level planning of industrial gas operations. The objective is to minimize the total cost of production and distribution of liquid products by coordinating production decisions at multiple plants and distribution decisions at multiple depots. Production decisions include production modes and rates that determine power consumption. Distribution decisions involve source, destination, quantity, route, and time of each truck delivery. The selection of routes is a critical factor of the distribution cost. The main goal of this contribution is to assess the benefits of optimal coordination of production and distribution. The proposed methodology has been tested on small, medium, and large size examples. The results show that significant benefits can be obtained with higher coordination among plants/depots in order to fulfill a common set of shared customer demands. The application to real industrial size test cases is also discussed.
Fil: Marchetti, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina. University Of Carnegie Mellon; Estados Unidos
Fil: Gupta, Vijay. University Of Carnegie Mellon. Department Of Chemical Engineering; Estados Unidos
Fil: Grossmann, Ignacio E.. University Of Carnegie Mellon. Department Of Chemical Engineering; Estados Unidos
Fil: Cook, Lauren. Delaware Research and Technology Center; Estados Unidos
Fil: Valton , Pierre Marie. Air Liquide - Paris Saclay R&d Center; Francia
Fil: Singh, Tejinder. Delaware Research and Technology Center; Estados Unidos
Fil: Li, Tong. Delaware Research and Technology Center; Estados Unidos
Fil: André, Jean. Air Liquide - Paris Saclay R&d Center; Francia
Materia
Supply-Chain Optimization
Industrial Gases
Production Planning
Inventory Routing Problem
Multi-Period Model
Mixed-Integer Linear Programming
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/9328
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/9328
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Simultaneous Production and Distribution of Industrial Gas Supply-ChainsMarchetti, Pablo AndresGupta, VijayGrossmann, Ignacio E.Cook, LaurenValton , Pierre MarieSingh, TejinderLi, TongAndré, JeanSupply-Chain OptimizationIndustrial GasesProduction PlanningInventory Routing ProblemMulti-Period ModelMixed-Integer Linear Programminghttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this paper, we propose a multi-period mixed-integer linear programming model for optimal enterprise-level planning of industrial gas operations. The objective is to minimize the total cost of production and distribution of liquid products by coordinating production decisions at multiple plants and distribution decisions at multiple depots. Production decisions include production modes and rates that determine power consumption. Distribution decisions involve source, destination, quantity, route, and time of each truck delivery. The selection of routes is a critical factor of the distribution cost. The main goal of this contribution is to assess the benefits of optimal coordination of production and distribution. The proposed methodology has been tested on small, medium, and large size examples. The results show that significant benefits can be obtained with higher coordination among plants/depots in order to fulfill a common set of shared customer demands. The application to real industrial size test cases is also discussed.Fil: Marchetti, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina. University Of Carnegie Mellon; Estados UnidosFil: Gupta, Vijay. University Of Carnegie Mellon. Department Of Chemical Engineering; Estados UnidosFil: Grossmann, Ignacio E.. University Of Carnegie Mellon. Department Of Chemical Engineering; Estados UnidosFil: Cook, Lauren. Delaware Research and Technology Center; Estados UnidosFil: Valton , Pierre Marie. Air Liquide - Paris Saclay R&d Center; FranciaFil: Singh, Tejinder. Delaware Research and Technology Center; Estados UnidosFil: Li, Tong. Delaware Research and Technology Center; Estados UnidosFil: André, Jean. Air Liquide - Paris Saclay R&d Center; FranciaElsevier2014-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/9328Marchetti, Pablo Andres; Gupta, Vijay; Grossmann, Ignacio E.; Cook, Lauren; Valton , Pierre Marie; et al.; Simultaneous Production and Distribution of Industrial Gas Supply-Chains; Elsevier; Computers And Chemical Engineering; 69; 10-2014; 39-580098-1354enginfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1016/j.compchemeng.2014.06.010info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135414001896info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:02:40Zoai:ri.conicet.gov.ar:11336/9328instacron: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 10:02:40.788CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Simultaneous Production and Distribution of Industrial Gas Supply-Chains
title Simultaneous Production and Distribution of Industrial Gas Supply-Chains
spellingShingle Simultaneous Production and Distribution of Industrial Gas Supply-Chains
Marchetti, Pablo Andres
Supply-Chain Optimization
Industrial Gases
Production Planning
Inventory Routing Problem
Multi-Period Model
Mixed-Integer Linear Programming
title_short Simultaneous Production and Distribution of Industrial Gas Supply-Chains
title_full Simultaneous Production and Distribution of Industrial Gas Supply-Chains
title_fullStr Simultaneous Production and Distribution of Industrial Gas Supply-Chains
title_full_unstemmed Simultaneous Production and Distribution of Industrial Gas Supply-Chains
title_sort Simultaneous Production and Distribution of Industrial Gas Supply-Chains
dc.creator.none.fl_str_mv Marchetti, Pablo Andres
Gupta, Vijay
Grossmann, Ignacio E.
Cook, Lauren
Valton , Pierre Marie
Singh, Tejinder
Li, Tong
André, Jean
author Marchetti, Pablo Andres
author_facet Marchetti, Pablo Andres
Gupta, Vijay
Grossmann, Ignacio E.
Cook, Lauren
Valton , Pierre Marie
Singh, Tejinder
Li, Tong
André, Jean
author_role author
author2 Gupta, Vijay
Grossmann, Ignacio E.
Cook, Lauren
Valton , Pierre Marie
Singh, Tejinder
Li, Tong
André, Jean
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Supply-Chain Optimization
Industrial Gases
Production Planning
Inventory Routing Problem
Multi-Period Model
Mixed-Integer Linear Programming
topic Supply-Chain Optimization
Industrial Gases
Production Planning
Inventory Routing Problem
Multi-Period Model
Mixed-Integer Linear Programming
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper, we propose a multi-period mixed-integer linear programming model for optimal enterprise-level planning of industrial gas operations. The objective is to minimize the total cost of production and distribution of liquid products by coordinating production decisions at multiple plants and distribution decisions at multiple depots. Production decisions include production modes and rates that determine power consumption. Distribution decisions involve source, destination, quantity, route, and time of each truck delivery. The selection of routes is a critical factor of the distribution cost. The main goal of this contribution is to assess the benefits of optimal coordination of production and distribution. The proposed methodology has been tested on small, medium, and large size examples. The results show that significant benefits can be obtained with higher coordination among plants/depots in order to fulfill a common set of shared customer demands. The application to real industrial size test cases is also discussed.
Fil: Marchetti, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina. University Of Carnegie Mellon; Estados Unidos
Fil: Gupta, Vijay. University Of Carnegie Mellon. Department Of Chemical Engineering; Estados Unidos
Fil: Grossmann, Ignacio E.. University Of Carnegie Mellon. Department Of Chemical Engineering; Estados Unidos
Fil: Cook, Lauren. Delaware Research and Technology Center; Estados Unidos
Fil: Valton , Pierre Marie. Air Liquide - Paris Saclay R&d Center; Francia
Fil: Singh, Tejinder. Delaware Research and Technology Center; Estados Unidos
Fil: Li, Tong. Delaware Research and Technology Center; Estados Unidos
Fil: André, Jean. Air Liquide - Paris Saclay R&d Center; Francia
description In this paper, we propose a multi-period mixed-integer linear programming model for optimal enterprise-level planning of industrial gas operations. The objective is to minimize the total cost of production and distribution of liquid products by coordinating production decisions at multiple plants and distribution decisions at multiple depots. Production decisions include production modes and rates that determine power consumption. Distribution decisions involve source, destination, quantity, route, and time of each truck delivery. The selection of routes is a critical factor of the distribution cost. The main goal of this contribution is to assess the benefits of optimal coordination of production and distribution. The proposed methodology has been tested on small, medium, and large size examples. The results show that significant benefits can be obtained with higher coordination among plants/depots in order to fulfill a common set of shared customer demands. The application to real industrial size test cases is also discussed.
publishDate 2014
dc.date.none.fl_str_mv 2014-10
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/11336/9328
Marchetti, Pablo Andres; Gupta, Vijay; Grossmann, Ignacio E.; Cook, Lauren; Valton , Pierre Marie; et al.; Simultaneous Production and Distribution of Industrial Gas Supply-Chains; Elsevier; Computers And Chemical Engineering; 69; 10-2014; 39-58
0098-1354
url http://hdl.handle.net/11336/9328
identifier_str_mv Marchetti, Pablo Andres; Gupta, Vijay; Grossmann, Ignacio E.; Cook, Lauren; Valton , Pierre Marie; et al.; Simultaneous Production and Distribution of Industrial Gas Supply-Chains; Elsevier; Computers And Chemical Engineering; 69; 10-2014; 39-58
0098-1354
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1016/j.compchemeng.2014.06.010
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135414001896
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
_version_ 1842269768451620864
score 13.13397

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