Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas Fields

Autores
Stamatti, Vito; Montagna, Agustín F.; Cafaro, Diego C.
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
A dynamic supply chain network (SCN) design problem is addressed in this work to optimally fulfill diesel fuel demands in oil and gas fields. Through a novel mixed integer linear programming (MILP) formulation we seek to determine the location of a group of storage tanks (ST) aiming to fulfill the diesel fuel demand while minimizing the net present value of the overall costs over the planning horizon. We introduce the concept of by the mobile ST, which can be seized of released at any period during the planning horizon. Mo-bile STs can be moved period by period among the grid of potential nodes of the superstructure. An integrated SCN is considered, taking into account all its dis-tinctive characteristics. In fact, a generalized approach is developed allowing for flexible flows across the network, capturing the intertwined nature of deci-sions. Economies of scale governing capital investments and operational costs are reflected in terms of the different types of ST to be optimally selected by the model. Lastly, the service level is assessed through a hybrid indicator composed of the magnitude of the flows and the total time required to fulfill fuel demands. A case study under different scenarios is addressed to show the potentials of the proposed approach and the efficiency of the SCN designs being obtained.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
dynamic
supply chain
design
optimization
diesel fuel
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/71884

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spelling Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas FieldsStamatti, VitoMontagna, Agustín F.Cafaro, Diego C.Ciencias Informáticasdynamicsupply chaindesignoptimizationdiesel fuelA dynamic supply chain network (SCN) design problem is addressed in this work to optimally fulfill diesel fuel demands in oil and gas fields. Through a novel mixed integer linear programming (MILP) formulation we seek to determine the location of a group of storage tanks (ST) aiming to fulfill the diesel fuel demand while minimizing the net present value of the overall costs over the planning horizon. We introduce the concept of by the mobile ST, which can be seized of released at any period during the planning horizon. Mo-bile STs can be moved period by period among the grid of potential nodes of the superstructure. An integrated SCN is considered, taking into account all its dis-tinctive characteristics. In fact, a generalized approach is developed allowing for flexible flows across the network, capturing the intertwined nature of deci-sions. Economies of scale governing capital investments and operational costs are reflected in terms of the different types of ST to be optimally selected by the model. Lastly, the service level is assessed through a hybrid indicator composed of the magnitude of the flows and the total time required to fulfill fuel demands. A case study under different scenarios is addressed to show the potentials of the proposed approach and the efficiency of the SCN designs being obtained.Sociedad Argentina de Informática e Investigación Operativa2018-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf15-28http://sedici.unlp.edu.ar/handle/10915/71884enginfo:eu-repo/semantics/altIdentifier/url/http://47jaiio.sadio.org.ar/sites/default/files/SIIIO-02.pdfinfo:eu-repo/semantics/altIdentifier/issn/2618-3277info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:43:44Zoai:sedici.unlp.edu.ar:10915/71884Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:43:44.592SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas Fields
title Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas Fields
spellingShingle Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas Fields
Stamatti, Vito
Ciencias Informáticas
dynamic
supply chain
design
optimization
diesel fuel
title_short Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas Fields
title_full Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas Fields
title_fullStr Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas Fields
title_full_unstemmed Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas Fields
title_sort Dynamic Supply Chain Network Design for Diesel Fuel Consumption in Oil and Gas Fields
dc.creator.none.fl_str_mv Stamatti, Vito
Montagna, Agustín F.
Cafaro, Diego C.
author Stamatti, Vito
author_facet Stamatti, Vito
Montagna, Agustín F.
Cafaro, Diego C.
author_role author
author2 Montagna, Agustín F.
Cafaro, Diego C.
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
dynamic
supply chain
design
optimization
diesel fuel
topic Ciencias Informáticas
dynamic
supply chain
design
optimization
diesel fuel
dc.description.none.fl_txt_mv A dynamic supply chain network (SCN) design problem is addressed in this work to optimally fulfill diesel fuel demands in oil and gas fields. Through a novel mixed integer linear programming (MILP) formulation we seek to determine the location of a group of storage tanks (ST) aiming to fulfill the diesel fuel demand while minimizing the net present value of the overall costs over the planning horizon. We introduce the concept of by the mobile ST, which can be seized of released at any period during the planning horizon. Mo-bile STs can be moved period by period among the grid of potential nodes of the superstructure. An integrated SCN is considered, taking into account all its dis-tinctive characteristics. In fact, a generalized approach is developed allowing for flexible flows across the network, capturing the intertwined nature of deci-sions. Economies of scale governing capital investments and operational costs are reflected in terms of the different types of ST to be optimally selected by the model. Lastly, the service level is assessed through a hybrid indicator composed of the magnitude of the flows and the total time required to fulfill fuel demands. A case study under different scenarios is addressed to show the potentials of the proposed approach and the efficiency of the SCN designs being obtained.
Sociedad Argentina de Informática e Investigación Operativa
description A dynamic supply chain network (SCN) design problem is addressed in this work to optimally fulfill diesel fuel demands in oil and gas fields. Through a novel mixed integer linear programming (MILP) formulation we seek to determine the location of a group of storage tanks (ST) aiming to fulfill the diesel fuel demand while minimizing the net present value of the overall costs over the planning horizon. We introduce the concept of by the mobile ST, which can be seized of released at any period during the planning horizon. Mo-bile STs can be moved period by period among the grid of potential nodes of the superstructure. An integrated SCN is considered, taking into account all its dis-tinctive characteristics. In fact, a generalized approach is developed allowing for flexible flows across the network, capturing the intertwined nature of deci-sions. Economies of scale governing capital investments and operational costs are reflected in terms of the different types of ST to be optimally selected by the model. Lastly, the service level is assessed through a hybrid indicator composed of the magnitude of the flows and the total time required to fulfill fuel demands. A case study under different scenarios is addressed to show the potentials of the proposed approach and the efficiency of the SCN designs being obtained.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
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info:eu-repo/semantics/publishedVersion
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http://purl.org/coar/resource_type/c_5794
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format conferenceObject
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dc.language.none.fl_str_mv eng
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info:eu-repo/semantics/altIdentifier/issn/2618-3277
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/3.0/
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/3.0/
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