A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand
The product-mix planning and the lot size decisions are some of the most fundamental research themes for the operations research community. The fact that markets have become more unpredictable has increaed the importance of these issues, rapidly. Currently, directors need to work with product-mix pl...
- Autores:
-
Neira Rodado, Dionicio
Escobar, John Willmer
García Cáceres, Rafael Guillermo
Niebles Atencio, Fabricio Andres
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/938
- Acceso en línea:
- http://hdl.handle.net/11323/938
https://repositorio.cuc.edu.co/
- Palabra clave:
- EVA
Lot sizing
Product-mix planning
Sample average approximation
Stochastic demand
- Rights
- openAccess
- License
- Atribución – No comercial – Compartir igual
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oai:repositorio.cuc.edu.co:11323/938 |
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REDICUC - Repositorio CUC |
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|
dc.title.eng.fl_str_mv |
A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand |
title |
A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand |
spellingShingle |
A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand EVA Lot sizing Product-mix planning Sample average approximation Stochastic demand |
title_short |
A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand |
title_full |
A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand |
title_fullStr |
A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand |
title_full_unstemmed |
A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand |
title_sort |
A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand |
dc.creator.fl_str_mv |
Neira Rodado, Dionicio Escobar, John Willmer García Cáceres, Rafael Guillermo Niebles Atencio, Fabricio Andres |
dc.contributor.author.spa.fl_str_mv |
Neira Rodado, Dionicio Escobar, John Willmer García Cáceres, Rafael Guillermo Niebles Atencio, Fabricio Andres |
dc.subject.eng.fl_str_mv |
EVA Lot sizing Product-mix planning Sample average approximation Stochastic demand |
topic |
EVA Lot sizing Product-mix planning Sample average approximation Stochastic demand |
description |
The product-mix planning and the lot size decisions are some of the most fundamental research themes for the operations research community. The fact that markets have become more unpredictable has increaed the importance of these issues, rapidly. Currently, directors need to work with product-mix planning and lot size decision models by introducing stochastic variables related to the demands, lead times, etc. However, some real mathematical models involving stochastic variables are not capable of obtaining good solutions within short commuting times. Several heuristics and metaheuristics have been developed to deal with lot decisions problems, in order to obtain high quality results within short commuting times. Nevertheless, the search for an efficient model by considering product mix and deal size with stochastic demand is a prominent research area. This paper aims to develop a general model for the product-mix, and lot size decision within a stochastic demand environment, by introducing the Economic Value Added (EVA) as the objective function of a product portfolio selection. The proposed stochastic model has been solved by using a Sample Average Approximation (SAA) scheme. The proposed model obtains high quality results within acceptable computing times. |
publishDate |
2016 |
dc.date.issued.none.fl_str_mv |
2016-09-14 |
dc.date.accessioned.none.fl_str_mv |
2018-11-14T12:51:21Z |
dc.date.available.none.fl_str_mv |
2018-11-14T12:51:21Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
acceptedVersion |
dc.identifier.issn.spa.fl_str_mv |
19232926 |
dc.identifier.uri.spa.fl_str_mv |
http://hdl.handle.net/11323/938 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
identifier_str_mv |
19232926 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
url |
http://hdl.handle.net/11323/938 https://repositorio.cuc.edu.co/ |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.rights.spa.fl_str_mv |
Atribución – No comercial – Compartir igual |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Atribución – No comercial – Compartir igual http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.publisher.spa.fl_str_mv |
International Journal of Industrial Engineering Computations |
institution |
Corporación Universidad de la Costa |
bitstream.url.fl_str_mv |
https://repositorio.cuc.edu.co/bitstream/11323/938/1/A%20mathematical%20model%20for%20the%20product%20mixing.pdf https://repositorio.cuc.edu.co/bitstream/11323/938/2/license.txt https://repositorio.cuc.edu.co/bitstream/11323/938/4/A%20mathematical%20model%20for%20the%20product%20mixing.pdf.jpg https://repositorio.cuc.edu.co/bitstream/11323/938/5/A%20mathematical%20model%20for%20the%20product%20mixing.pdf.txt |
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bitstream.checksumAlgorithm.fl_str_mv |
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repository.name.fl_str_mv |
Repositorio Universidad de La Costa |
repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
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Neira Rodado, Dionicio3be1ac9c504a1282ad14d2dee803adcfEscobar, John Willmer66c4164805bf7a0c83ec20514d52b154García Cáceres, Rafael Guillermo7bd89b9dc3d51384b95817f616632afcNiebles Atencio, Fabricio Andresc85e98009f881d138fac8bba1feeeceb2018-11-14T12:51:21Z2018-11-14T12:51:21Z2016-09-1419232926http://hdl.handle.net/11323/938Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The product-mix planning and the lot size decisions are some of the most fundamental research themes for the operations research community. The fact that markets have become more unpredictable has increaed the importance of these issues, rapidly. Currently, directors need to work with product-mix planning and lot size decision models by introducing stochastic variables related to the demands, lead times, etc. However, some real mathematical models involving stochastic variables are not capable of obtaining good solutions within short commuting times. Several heuristics and metaheuristics have been developed to deal with lot decisions problems, in order to obtain high quality results within short commuting times. Nevertheless, the search for an efficient model by considering product mix and deal size with stochastic demand is a prominent research area. This paper aims to develop a general model for the product-mix, and lot size decision within a stochastic demand environment, by introducing the Economic Value Added (EVA) as the objective function of a product portfolio selection. The proposed stochastic model has been solved by using a Sample Average Approximation (SAA) scheme. The proposed model obtains high quality results within acceptable computing times.engInternational Journal of Industrial Engineering ComputationsAtribución – No comercial – Compartir igualinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2EVALot sizingProduct-mix planningSample average approximationStochastic demandA mathematical model for the product mixing and lot-sizing problem by considering stochastic demandArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionORIGINALA mathematical model for the product mixing.pdfA mathematical model for the product mixing.pdfapplication/pdf412945https://repositorio.cuc.edu.co/bitstream/11323/938/1/A%20mathematical%20model%20for%20the%20product%20mixing.pdf31d4912e677c20b833fd79c877934ab3MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstream/11323/938/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52open accessTHUMBNAILA mathematical model for the product mixing.pdf.jpgA mathematical model for the product mixing.pdf.jpgimage/jpeg54305https://repositorio.cuc.edu.co/bitstream/11323/938/4/A%20mathematical%20model%20for%20the%20product%20mixing.pdf.jpg9bb74dd0a19caedc7afaf828d4ad977bMD54open accessTEXTA mathematical model for the product mixing.pdf.txtA mathematical model for the product mixing.pdf.txttext/plain43923https://repositorio.cuc.edu.co/bitstream/11323/938/5/A%20mathematical%20model%20for%20the%20product%20mixing.pdf.txt583fadaa3e55b3452806974e5b3b8f18MD55open access11323/938oai:repositorio.cuc.edu.co:11323/9382023-12-14 13:07:50.065open accessRepositorio Universidad de La Costabdigital@metabiblioteca.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 |