Vélez Gallego, Mario César2017-11-152017http://hdl.handle.net/10784/11827Nowadays 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 processspaCadena de suministrosProducción más limpiaProgramacón lineal entera mixtaModelación matemáticaOptimización multiobjetivodoctoralThesisinfo:eu-repo/semantics/closedAccessOPTIMIZACIÓN MATEMÁTICAANÁLISIS MULTIVARIANTEALGORITMOS GENÉTICOSINDUSTRIA DEL CEMENTODIÓXIDO DE CARBONOIMPACTO AMBIENTALPROTECCIÓN DEL MEDIO AMBIENTEINVESTIGACIÓN OPERACIONALOPTIMIZACIÓN COMBINATORIAMathematical optimizationMultivariate analysisGenetic algorithmsCement industriesCarbon dioxideEnvironmental ImpactEnvironmental protectionOperations researchCombinatorial optimization658.78CD C121Acceso cerrado2017-11-15Cadavid Giraldo, Nora