Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound method

Detalhes bibliográficos
Autor(a) principal: Lourencao, Alvaro Martino [UNESP]
Data de Publicação: 2017
Outros Autores: Baptista, Edmea Cassia [UNESP], Soler, Edilaine Martins [UNESP], Souza, Fernando Bernardi [UNESP], Cherri, Adriana Cristina [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TLA.2017.7896403
http://hdl.handle.net/11449/178832
Resumo: Inventory management can be considered as one of the main components of planning and production control. In the literature numerous mathematical models are presented for inventory management, which approach different aspects related to this management. The development of efficient inventory models and the adoption of appropriate optimization methods for solving these models are needed to support in making decisions to inventory management. In this paper, we propose an inventory model that works with multiple products and multiple resource constraints, deciding between the continuous review and periodic review systems. This model is formulated as a nonlinear mixed integer optimization problem. It explores for the resolution of this model, an approach based on Branch-And-Bound method and interior point method. In order to propose this model and choose the method for its resolution, initially an investigation in the literature review on the topic is done. Then, the concept of continuous review and periodic review systems is explored. Finally, two computational tests are proposed, one to compare the results of proposed nonlinear model with the linear model and the other to verify its efficiency and applicability. The results show the potential of the model and solution method used to work with inventory system.
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spelling Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound methodcontinuous review systemmultiproduct inventory systemsnonlinear optimizationperiodic review systemInventory management can be considered as one of the main components of planning and production control. In the literature numerous mathematical models are presented for inventory management, which approach different aspects related to this management. The development of efficient inventory models and the adoption of appropriate optimization methods for solving these models are needed to support in making decisions to inventory management. In this paper, we propose an inventory model that works with multiple products and multiple resource constraints, deciding between the continuous review and periodic review systems. This model is formulated as a nonlinear mixed integer optimization problem. It explores for the resolution of this model, an approach based on Branch-And-Bound method and interior point method. In order to propose this model and choose the method for its resolution, initially an investigation in the literature review on the topic is done. Then, the concept of continuous review and periodic review systems is explored. Finally, two computational tests are proposed, one to compare the results of proposed nonlinear model with the linear model and the other to verify its efficiency and applicability. The results show the potential of the model and solution method used to work with inventory system.Iversidade Estadual Paulista (UNESP)Iversidade Estadual Paulista (UNESP)Universidade Estadual Paulista (Unesp)Lourencao, Alvaro Martino [UNESP]Baptista, Edmea Cassia [UNESP]Soler, Edilaine Martins [UNESP]Souza, Fernando Bernardi [UNESP]Cherri, Adriana Cristina [UNESP]2018-12-11T17:32:17Z2018-12-11T17:32:17Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article744-752application/pdfhttp://dx.doi.org/10.1109/TLA.2017.7896403IEEE Latin America Transactions, v. 15, n. 4, p. 744-752, 2017.1548-0992http://hdl.handle.net/11449/17883210.1109/TLA.2017.78964032-s2.0-850185169402-s2.0-85018516940.pdf19650315295082884796874045269580000-0002-7615-57680000-0002-5642-8925Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporIEEE Latin America Transactions0,253info:eu-repo/semantics/openAccess2024-04-29T14:59:32Zoai:repositorio.unesp.br:11449/178832Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-29T14:59:32Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound method
title Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound method
spellingShingle Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound method
Lourencao, Alvaro Martino [UNESP]
continuous review system
multiproduct inventory systems
nonlinear optimization
periodic review system
title_short Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound method
title_full Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound method
title_fullStr Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound method
title_full_unstemmed Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound method
title_sort Mixed-integer nonlinear model for multiproduct inventory systems with interior point and branch-And-bound method
author Lourencao, Alvaro Martino [UNESP]
author_facet Lourencao, Alvaro Martino [UNESP]
Baptista, Edmea Cassia [UNESP]
Soler, Edilaine Martins [UNESP]
Souza, Fernando Bernardi [UNESP]
Cherri, Adriana Cristina [UNESP]
author_role author
author2 Baptista, Edmea Cassia [UNESP]
Soler, Edilaine Martins [UNESP]
Souza, Fernando Bernardi [UNESP]
Cherri, Adriana Cristina [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Lourencao, Alvaro Martino [UNESP]
Baptista, Edmea Cassia [UNESP]
Soler, Edilaine Martins [UNESP]
Souza, Fernando Bernardi [UNESP]
Cherri, Adriana Cristina [UNESP]
dc.subject.por.fl_str_mv continuous review system
multiproduct inventory systems
nonlinear optimization
periodic review system
topic continuous review system
multiproduct inventory systems
nonlinear optimization
periodic review system
description Inventory management can be considered as one of the main components of planning and production control. In the literature numerous mathematical models are presented for inventory management, which approach different aspects related to this management. The development of efficient inventory models and the adoption of appropriate optimization methods for solving these models are needed to support in making decisions to inventory management. In this paper, we propose an inventory model that works with multiple products and multiple resource constraints, deciding between the continuous review and periodic review systems. This model is formulated as a nonlinear mixed integer optimization problem. It explores for the resolution of this model, an approach based on Branch-And-Bound method and interior point method. In order to propose this model and choose the method for its resolution, initially an investigation in the literature review on the topic is done. Then, the concept of continuous review and periodic review systems is explored. Finally, two computational tests are proposed, one to compare the results of proposed nonlinear model with the linear model and the other to verify its efficiency and applicability. The results show the potential of the model and solution method used to work with inventory system.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
2018-12-11T17:32:17Z
2018-12-11T17:32:17Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/TLA.2017.7896403
IEEE Latin America Transactions, v. 15, n. 4, p. 744-752, 2017.
1548-0992
http://hdl.handle.net/11449/178832
10.1109/TLA.2017.7896403
2-s2.0-85018516940
2-s2.0-85018516940.pdf
196503152950828
8479687404526958
0000-0002-7615-5768
0000-0002-5642-8925
url http://dx.doi.org/10.1109/TLA.2017.7896403
http://hdl.handle.net/11449/178832
identifier_str_mv IEEE Latin America Transactions, v. 15, n. 4, p. 744-752, 2017.
1548-0992
10.1109/TLA.2017.7896403
2-s2.0-85018516940
2-s2.0-85018516940.pdf
196503152950828
8479687404526958
0000-0002-7615-5768
0000-0002-5642-8925
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv IEEE Latin America Transactions
0,253
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 744-752
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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