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...
- 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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|
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 |
bitstream.checksum.fl_str_mv |
8a4605be74aa9ea9d79846c1fba20a33 98822a5e6e08d28c693eb87529b661ce |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
_version_ |
1818102405415305216 |
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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