Simultaneous optimization for continuous improvement and cost reduction in processes

Many optimization problems are characterized by the flexibility to establish utility between the objective functions. The experimental strategy plays an important role in generating these objective functions, in addition, it has been conveniently applied to reduce quality costs and in the continuous...

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Autores:
Domínguez Domínguez, Jorge
Tipo de recurso:
Fecha de publicación:
2006
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/14557
Acceso en línea:
http://hdl.handle.net/10784/14557
Palabra clave:
Experiment Designs
Models
Loss Function
Multi-Response Optimization
Graphical Method
Diseños De Experimentos
Modelos
Función De Pérdida
Optimización Multi–Respuesta
Método Gráfico
Rights
License
Copyright (c) 2006 Jorge Domínguez Domínguez
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2006-12-012019-11-22T19:18:49Z2006-12-012019-11-22T19:18:49Z2256-43141794-9165http://hdl.handle.net/10784/14557Many optimization problems are characterized by the flexibility to establish utility between the objective functions. The experimental strategy plays an important role in generating these objective functions, in addition, it has been conveniently applied to reduce quality costs and in the continuous improvement of the quality of processes and products. It is common to find many industrial applications with several responses whose purpose is to achieve the overall quality of a product, so it is necessary to simultaneously optimize the responses of interest. In essence, the problem of optimization of several responses involves selecting a set of independent variables such conditions or that result in a product or service appropriate. That is, it is desired to select the levels of the independent variables that optimize all the answers at the same time.Muchos problemas de optimización son caracterizados por la flexibilidad para establecer la utilidad entre las funciones objetivo. La estrategia experimental desempeña un papel importante para generar estas funciones objetivo, además, ésta se ha aplicado de manera conveniente para disminuir costos de calidad y en la mejora continua de la calidad de procesos y productos. Es frecuente encontrar muchas aplicaciones industriales con varias respuestas cuya finalidad es alcanzar la calidad global de un producto, por lo que es necesario optimizar de manera simultánea las respuestas de interés. En esencia, el problema de optimización de varias respuestas involucra la selección de un conjunto de condiciones o variables independientes tales que den como resultado un producto o servicio adecuado. Es decir, se desea seleccionar los niveles de las variables independientes que optimicen todas las respuestas a la vez.application/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/473http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/473Copyright (c) 2006 Jorge Domínguez DomínguezAcceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 2, No 4 (2006)Simultaneous optimization for continuous improvement and cost reduction in processesOptimización simultánea para la mejora continua y reducción de costos en procesosarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Experiment DesignsModelsLoss FunctionMulti-Response OptimizationGraphical MethodDiseños De ExperimentosModelosFunción De PérdidaOptimización Multi–RespuestaMétodo GráficoDomínguez Domínguez, JorgeCIMATIngeniería y Ciencia24145162ing.cienc.THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/a404cd16-54cd-4e87-b17d-017a714809ec/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINALdocument (3).pdfdocument (3).pdfTexto completo PDFapplication/pdf205879https://repository.eafit.edu.co/bitstreams/3a0fc49d-5bdf-42b3-8ada-118acc3bc7f2/download19a796bafa34ef797a1958dd04d67b9eMD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html373https://repository.eafit.edu.co/bitstreams/238e5172-c0a6-42d7-a912-9b5a14a664ad/download2f2ea35f6ca0614fff32c8fbe3492f38MD5310784/14557oai:repository.eafit.edu.co:10784/145572020-03-02 23:30:45.235open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co
dc.title.eng.fl_str_mv Simultaneous optimization for continuous improvement and cost reduction in processes
dc.title.spa.fl_str_mv Optimización simultánea para la mejora continua y reducción de costos en procesos
title Simultaneous optimization for continuous improvement and cost reduction in processes
spellingShingle Simultaneous optimization for continuous improvement and cost reduction in processes
Experiment Designs
Models
Loss Function
Multi-Response Optimization
Graphical Method
Diseños De Experimentos
Modelos
Función De Pérdida
Optimización Multi–Respuesta
Método Gráfico
title_short Simultaneous optimization for continuous improvement and cost reduction in processes
title_full Simultaneous optimization for continuous improvement and cost reduction in processes
title_fullStr Simultaneous optimization for continuous improvement and cost reduction in processes
title_full_unstemmed Simultaneous optimization for continuous improvement and cost reduction in processes
title_sort Simultaneous optimization for continuous improvement and cost reduction in processes
dc.creator.fl_str_mv Domínguez Domínguez, Jorge
dc.contributor.author.spa.fl_str_mv Domínguez Domínguez, Jorge
dc.contributor.affiliation.spa.fl_str_mv CIMAT
dc.subject.keyword.eng.fl_str_mv Experiment Designs
Models
Loss Function
Multi-Response Optimization
Graphical Method
topic Experiment Designs
Models
Loss Function
Multi-Response Optimization
Graphical Method
Diseños De Experimentos
Modelos
Función De Pérdida
Optimización Multi–Respuesta
Método Gráfico
dc.subject.keyword.spa.fl_str_mv Diseños De Experimentos
Modelos
Función De Pérdida
Optimización Multi–Respuesta
Método Gráfico
description Many optimization problems are characterized by the flexibility to establish utility between the objective functions. The experimental strategy plays an important role in generating these objective functions, in addition, it has been conveniently applied to reduce quality costs and in the continuous improvement of the quality of processes and products. It is common to find many industrial applications with several responses whose purpose is to achieve the overall quality of a product, so it is necessary to simultaneously optimize the responses of interest. In essence, the problem of optimization of several responses involves selecting a set of independent variables such conditions or that result in a product or service appropriate. That is, it is desired to select the levels of the independent variables that optimize all the answers at the same time.
publishDate 2006
dc.date.issued.none.fl_str_mv 2006-12-01
dc.date.available.none.fl_str_mv 2019-11-22T19:18:49Z
dc.date.accessioned.none.fl_str_mv 2019-11-22T19:18:49Z
dc.date.none.fl_str_mv 2006-12-01
dc.type.eng.fl_str_mv article
info:eu-repo/semantics/article
publishedVersion
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http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.local.spa.fl_str_mv Artículo
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 2256-4314
1794-9165
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/14557
identifier_str_mv 2256-4314
1794-9165
url http://hdl.handle.net/10784/14557
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dc.relation.uri.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/473
dc.rights.eng.fl_str_mv Copyright (c) 2006 Jorge Domínguez Domínguez
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Copyright (c) 2006 Jorge Domínguez Domínguez
Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.coverage.spatial.eng.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.none.fl_str_mv instname:Universidad EAFIT
reponame:Repositorio Institucional Universidad EAFIT
dc.source.spa.fl_str_mv Ingeniería y Ciencia; Vol 2, No 4 (2006)
instname_str Universidad EAFIT
institution Universidad EAFIT
reponame_str Repositorio Institucional Universidad EAFIT
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