Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit

Autores
Zeballos, Luis J.; Bonino, Sergio G.; Méndez, Carlos A.; Barbosa Povoa, Ana P.
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper proposes an mixed-integer linear programming (MILP) model to accurately represent a product life-cycle design considering profit maximization. The model that takes into account the effects on the demand lev-el and a measure of the customer utility considering recycled raw materials and prices of the traditional and modular products. Demand functions for traditional and modular products are considered. Given the presence of bilinear terms in the formulation (for example due to the multiplication of product price for the demand), the multi-parametric disaggregation technique is used to obtain a line-ar model. The developed model is applied to a company that produces tradition-al carpets and it wants to manufacture carpets based on a new modular design where recycled materials must be incorporated. The objective of the company is to maximize the total profit taking into account the design specifications and the selling prices for traditional and modular carpets. In addition, the amount of square meters of traditional carpets must be determined and the take-back rate must be considered. The practical behavior of the formulation is analyzed through computational experiments exploring the analyzed case-study.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Carpet recycling
Product design
Life-cycle
Linear mathematical programming
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:10915/89429
Acceder
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network_acronym_str SEDICI
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network_name_str SEDICI (UNLP)
spelling Mixed-Integer Linear Programming Approach for Life-Cycle Carpet ProfitZeballos, Luis J.Bonino, Sergio G.Méndez, Carlos A.Barbosa Povoa, Ana P.Ciencias InformáticasCarpet recyclingProduct designLife-cycleLinear mathematical programmingThis paper proposes an mixed-integer linear programming (MILP) model to accurately represent a product life-cycle design considering profit maximization. The model that takes into account the effects on the demand lev-el and a measure of the customer utility considering recycled raw materials and prices of the traditional and modular products. Demand functions for traditional and modular products are considered. Given the presence of bilinear terms in the formulation (for example due to the multiplication of product price for the demand), the multi-parametric disaggregation technique is used to obtain a line-ar model. The developed model is applied to a company that produces tradition-al carpets and it wants to manufacture carpets based on a new modular design where recycled materials must be incorporated. The objective of the company is to maximize the total profit taking into account the design specifications and the selling prices for traditional and modular carpets. In addition, the amount of square meters of traditional carpets must be determined and the take-back rate must be considered. The practical behavior of the formulation is analyzed through computational experiments exploring the analyzed case-study.Sociedad Argentina de Informática e Investigación Operativa2019-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf51-63http://sedici.unlp.edu.ar/handle/10915/89429enginfo: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:UNLP2025-09-29T11:18:22Zoai:sedici.unlp.edu.ar:10915/89429Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:18:22.947SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit
title Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit
spellingShingle Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit
Zeballos, Luis J.
Ciencias Informáticas
Carpet recycling
Product design
Life-cycle
Linear mathematical programming
title_short Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit
title_full Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit
title_fullStr Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit
title_full_unstemmed Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit
title_sort Mixed-Integer Linear Programming Approach for Life-Cycle Carpet Profit
dc.creator.none.fl_str_mv Zeballos, Luis J.
Bonino, Sergio G.
Méndez, Carlos A.
Barbosa Povoa, Ana P.
author Zeballos, Luis J.
author_facet Zeballos, Luis J.
Bonino, Sergio G.
Méndez, Carlos A.
Barbosa Povoa, Ana P.
author_role author
author2 Bonino, Sergio G.
Méndez, Carlos A.
Barbosa Povoa, Ana P.
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Carpet recycling
Product design
Life-cycle
Linear mathematical programming
topic Ciencias Informáticas
Carpet recycling
Product design
Life-cycle
Linear mathematical programming
dc.description.none.fl_txt_mv This paper proposes an mixed-integer linear programming (MILP) model to accurately represent a product life-cycle design considering profit maximization. The model that takes into account the effects on the demand lev-el and a measure of the customer utility considering recycled raw materials and prices of the traditional and modular products. Demand functions for traditional and modular products are considered. Given the presence of bilinear terms in the formulation (for example due to the multiplication of product price for the demand), the multi-parametric disaggregation technique is used to obtain a line-ar model. The developed model is applied to a company that produces tradition-al carpets and it wants to manufacture carpets based on a new modular design where recycled materials must be incorporated. The objective of the company is to maximize the total profit taking into account the design specifications and the selling prices for traditional and modular carpets. In addition, the amount of square meters of traditional carpets must be determined and the take-back rate must be considered. The practical behavior of the formulation is analyzed through computational experiments exploring the analyzed case-study.
Sociedad Argentina de Informática e Investigación Operativa
description This paper proposes an mixed-integer linear programming (MILP) model to accurately represent a product life-cycle design considering profit maximization. The model that takes into account the effects on the demand lev-el and a measure of the customer utility considering recycled raw materials and prices of the traditional and modular products. Demand functions for traditional and modular products are considered. Given the presence of bilinear terms in the formulation (for example due to the multiplication of product price for the demand), the multi-parametric disaggregation technique is used to obtain a line-ar model. The developed model is applied to a company that produces tradition-al carpets and it wants to manufacture carpets based on a new modular design where recycled materials must be incorporated. The objective of the company is to maximize the total profit taking into account the design specifications and the selling prices for traditional and modular carpets. In addition, the amount of square meters of traditional carpets must be determined and the take-back rate must be considered. The practical behavior of the formulation is analyzed through computational experiments exploring the analyzed case-study.
publishDate 2019
dc.date.none.fl_str_mv 2019-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/89429
url http://sedici.unlp.edu.ar/handle/10915/89429
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/2618-3277
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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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/
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
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