Environmental improvement of operating supply chains: a multi-objective approach for the cement industry

Nowadays companies worldwide face a growing pressure to reduce the environmental impact of their manufacturing activities -- However, the strategies used to achieve this goal are not clearly defined because of their conflicting relations with financial outcomes -- In parallel, globalization trends i...

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Autores:
Cadavid Giraldo, Nora
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/11827
Acceso en línea:
http://hdl.handle.net/10784/11827
Palabra clave:
Cadena de suministros
Producción más limpia
Programacón lineal entera mixta
Modelación matemática
Optimización multiobjetivo
OPTIMIZACIÓN MATEMÁTICA
ANÁLISIS MULTIVARIANTE
ALGORITMOS GENÉTICOS
INDUSTRIA DEL CEMENTO
DIÓXIDO DE CARBONO
IMPACTO AMBIENTAL
PROTECCIÓN DEL MEDIO AMBIENTE
INVESTIGACIÓN OPERACIONAL
OPTIMIZACIÓN COMBINATORIA
Mathematical optimization
Multivariate analysis
Genetic algorithms
Cement industries
Carbon dioxide
Environmental Impact
Environmental protection
Operations research
Combinatorial optimization
Rights
License
Acceso cerrado
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oai_identifier_str oai:repository.eafit.edu.co:10784/11827
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repository_id_str
dc.title.spa.fl_str_mv Environmental improvement of operating supply chains: a multi-objective approach for the cement industry
title Environmental improvement of operating supply chains: a multi-objective approach for the cement industry
spellingShingle Environmental improvement of operating supply chains: a multi-objective approach for the cement industry
Cadena de suministros
Producción más limpia
Programacón lineal entera mixta
Modelación matemática
Optimización multiobjetivo
OPTIMIZACIÓN MATEMÁTICA
ANÁLISIS MULTIVARIANTE
ALGORITMOS GENÉTICOS
INDUSTRIA DEL CEMENTO
DIÓXIDO DE CARBONO
IMPACTO AMBIENTAL
PROTECCIÓN DEL MEDIO AMBIENTE
INVESTIGACIÓN OPERACIONAL
OPTIMIZACIÓN COMBINATORIA
Mathematical optimization
Multivariate analysis
Genetic algorithms
Cement industries
Carbon dioxide
Environmental Impact
Environmental protection
Operations research
Combinatorial optimization
title_short Environmental improvement of operating supply chains: a multi-objective approach for the cement industry
title_full Environmental improvement of operating supply chains: a multi-objective approach for the cement industry
title_fullStr Environmental improvement of operating supply chains: a multi-objective approach for the cement industry
title_full_unstemmed Environmental improvement of operating supply chains: a multi-objective approach for the cement industry
title_sort Environmental improvement of operating supply chains: a multi-objective approach for the cement industry
dc.creator.fl_str_mv Cadavid Giraldo, Nora
dc.contributor.advisor.none.fl_str_mv Vélez Gallego, Mario César
dc.contributor.author.none.fl_str_mv Cadavid Giraldo, Nora
dc.subject.spa.fl_str_mv Cadena de suministros
Producción más limpia
Programacón lineal entera mixta
Modelación matemática
Optimización multiobjetivo
topic Cadena de suministros
Producción más limpia
Programacón lineal entera mixta
Modelación matemática
Optimización multiobjetivo
OPTIMIZACIÓN MATEMÁTICA
ANÁLISIS MULTIVARIANTE
ALGORITMOS GENÉTICOS
INDUSTRIA DEL CEMENTO
DIÓXIDO DE CARBONO
IMPACTO AMBIENTAL
PROTECCIÓN DEL MEDIO AMBIENTE
INVESTIGACIÓN OPERACIONAL
OPTIMIZACIÓN COMBINATORIA
Mathematical optimization
Multivariate analysis
Genetic algorithms
Cement industries
Carbon dioxide
Environmental Impact
Environmental protection
Operations research
Combinatorial optimization
dc.subject.lemb.spa.fl_str_mv OPTIMIZACIÓN MATEMÁTICA
ANÁLISIS MULTIVARIANTE
ALGORITMOS GENÉTICOS
INDUSTRIA DEL CEMENTO
DIÓXIDO DE CARBONO
IMPACTO AMBIENTAL
PROTECCIÓN DEL MEDIO AMBIENTE
INVESTIGACIÓN OPERACIONAL
OPTIMIZACIÓN COMBINATORIA
dc.subject.keyword.spa.fl_str_mv Mathematical optimization
Multivariate analysis
Genetic algorithms
Cement industries
Carbon dioxide
Environmental Impact
Environmental protection
Operations research
Combinatorial optimization
description Nowadays companies worldwide face a growing pressure to reduce the environmental impact of their manufacturing activities -- However, the strategies used to achieve this goal are not clearly defined because of their conflicting relations with financial outcomes -- In parallel, globalization trends imply that as companies grow, usually through mergers and acquisitions, their supply chains become more complex -- The environmental improvement of these supply chains imply not only technical retrofit decisions aiming at adopting cleaner production technologies but also decisions regarding the structure of the supply chain itself -- Making these decisions becomes a difficult task because of the large number of variables involved, and the diversity of the interactions among them -- To tackle this problem, this research aims at providing a multi-objective solution approach for making technological retrofit decisions within an operating supply chain, so that both environmental and financial goals are best met -- The proposed solution approach is applied to the case of an operating cement supply chain in Colombia -- Several computational experiments were conducted, obtained results demonstrates that the proposed model is an e effective tool for multi-objective improvement decisions making, towards a more sustainable production process
publishDate 2017
dc.date.available.none.fl_str_mv 2017-11-15T14:47:20Z
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2017-11-15T14:47:20Z
dc.type.eng.fl_str_mv doctoralThesis
info:eu-repo/semantics/doctoralThesis
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_db06
dc.type.local.spa.fl_str_mv Tesis Doctoral
dc.type.hasVersion.eng.fl_str_mv acceptedVersion
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/11827
dc.identifier.local.none.fl_str_mv 658.78CD C121
url http://hdl.handle.net/10784/11827
identifier_str_mv 658.78CD C121
dc.language.iso.spa.fl_str_mv spa
language spa
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_14cb
dc.rights.local.spa.fl_str_mv Acceso cerrado
rights_invalid_str_mv Acceso cerrado
http://purl.org/coar/access_right/c_14cb
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.publisher.program.spa.fl_str_mv Doctorado en Ingeniería
dc.publisher.department.spa.fl_str_mv Escuela de Ingeniería
institution Universidad EAFIT
bitstream.url.fl_str_mv https://repository.eafit.edu.co/bitstreams/a080db20-b211-4175-bce7-470ac77210ca/download
https://repository.eafit.edu.co/bitstreams/582ebab0-d414-4fed-be86-c50852ae8995/download
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98822a5e6e08d28c693eb87529b661ce
bitstream.checksumAlgorithm.fl_str_mv MD5
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repository.name.fl_str_mv Repositorio Institucional Universidad EAFIT
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spelling Vélez Gallego, Mario CésarCadavid Giraldo, Nora0f876dd0-afe5-4d71-8762-e99ca171b4d0-1Doctor in Engineeringncadavi1@eafit.edu.coMedellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2017-11-15T14:47:20Z20172017-11-15T14:47:20Zhttp://hdl.handle.net/10784/11827658.78CD C121Nowadays companies worldwide face a growing pressure to reduce the environmental impact of their manufacturing activities -- However, the strategies used to achieve this goal are not clearly defined because of their conflicting relations with financial outcomes -- In parallel, globalization trends imply that as companies grow, usually through mergers and acquisitions, their supply chains become more complex -- The environmental improvement of these supply chains imply not only technical retrofit decisions aiming at adopting cleaner production technologies but also decisions regarding the structure of the supply chain itself -- Making these decisions becomes a difficult task because of the large number of variables involved, and the diversity of the interactions among them -- To tackle this problem, this research aims at providing a multi-objective solution approach for making technological retrofit decisions within an operating supply chain, so that both environmental and financial goals are best met -- The proposed solution approach is applied to the case of an operating cement supply chain in Colombia -- Several computational experiments were conducted, obtained results demonstrates that the proposed model is an e effective tool for multi-objective improvement decisions making, towards a more sustainable production processspaUniversidad EAFITDoctorado en IngenieríaEscuela de IngenieríaCadena de suministrosProducción más limpiaProgramacón lineal entera mixtaModelación matemáticaOptimización multiobjetivoOPTIMIZACIÓN MATEMÁTICAANÁLISIS MULTIVARIANTEALGORITMOS GENÉTICOSINDUSTRIA DEL CEMENTODIÓXIDO DE CARBONOIMPACTO AMBIENTALPROTECCIÓN DEL MEDIO AMBIENTEINVESTIGACIÓN OPERACIONALOPTIMIZACIÓN COMBINATORIAMathematical optimizationMultivariate analysisGenetic algorithmsCement industriesCarbon dioxideEnvironmental ImpactEnvironmental protectionOperations researchCombinatorial optimizationEnvironmental improvement of operating supply chains: a multi-objective approach for the cement industrydoctoralThesisinfo:eu-repo/semantics/doctoralThesisTesis DoctoralacceptedVersionhttp://purl.org/coar/resource_type/c_db06Acceso cerradohttp://purl.org/coar/access_right/c_14cbLICENSElicense.txtlicense.txttext/plain; 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