Aplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministro

El presente proyecto establece y evalúa una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministros. Inicialmente se definieron los requerimientos de robustez, las car...

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Autores:
Tordecilla Madera, Rafael David
Tipo de recurso:
Fecha de publicación:
2012
Institución:
Universidad de la Sabana
Repositorio:
Repositorio Universidad de la Sabana
Idioma:
spa
OAI Identifier:
oai:intellectum.unisabana.edu.co:10818/3917
Acceso en línea:
http://hdl.handle.net/10818/3917
Palabra clave:
Costos de distribución-Investigaciones
Canales de comercialización-Investigaciones
Logística en los negocios-Investigaciones
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network_name_str Repositorio Universidad de la Sabana
repository_id_str
dc.title.es_CO.fl_str_mv Aplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministro
title Aplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministro
spellingShingle Aplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministro
Magister en Diseño y Gestión de Procesos
Costos de distribución-Investigaciones
Canales de comercialización-Investigaciones
Logística en los negocios-Investigaciones
title_short Aplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministro
title_full Aplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministro
title_fullStr Aplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministro
title_full_unstemmed Aplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministro
title_sort Aplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministro
dc.creator.fl_str_mv Tordecilla Madera, Rafael David
author Magister en Diseño y Gestión de Procesos
author_facet Magister en Diseño y Gestión de Procesos
author_role author
dc.contributor.advisor.none.fl_str_mv González Rodríguez, Leonardo José
dc.contributor.author.none.fl_str_mv Tordecilla Madera, Rafael David
dc.contributor.author.fl_str_mv Magister en Diseño y Gestión de Procesos
dc.subject.es_CO.fl_str_mv Costos de distribución-Investigaciones
Canales de comercialización-Investigaciones
Logística en los negocios-Investigaciones
topic Costos de distribución-Investigaciones
Canales de comercialización-Investigaciones
Logística en los negocios-Investigaciones
description El presente proyecto establece y evalúa una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministros. Inicialmente se definieron los requerimientos de robustez, las características de desempeño y los parámetros de perturbación asociados al sistema estudiado. Luego se construyó un modelo de programación lineal que representara al sistema y con el cual se identificaron ciertas estructuras que adquiría el mismo. Para cada estructura se determinó el impacto de los parámetros de perturbación sobre los requerimientos de robustez y las características de desempeño. Finalmente, con estos resultados se concluyó que una cadena de suministros más robusta es más costosa, independientemente de la estructura considerada.
publishDate 2012
dc.date.accessioned.none.fl_str_mv 2012-11-13T14:26:42Z
dc.date.available.none.fl_str_mv 2012-11-13T14:26:42Z
dc.date.created.none.fl_str_mv 2012-11-13
dc.date.issued.none.fl_str_mv 2012
dc.type.none.fl_str_mv masterThesis
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
dc.type.local.none.fl_str_mv Tesis de maestría
dc.type.hasVersion.none.fl_str_mv publishedVersion
dc.identifier.citation.none.fl_str_mv Aghezzaf, E. (2005). Capacity planning and warehouse location in supply chains with uncertain demands. Journal of the Operational Research Society, 56, 453-462
Ali, S., Maciejewski, A.A., Siegel, H.J. & Kim, J.K. (2004). Measuring the robustness of a resource allocation. IEEE Transactions on Parallel and Distributed Systems, 15, 630-641
Azaron, A., Brown, K.N., Tarim, S.A. & Modarres, M. (2008). A multi-objective stochastic programming approach for supply chain design considering risk. International Journal of Production Economics, 116, 129-138
Ben-Tal, A., & Nemirovski, A. (2000). Robust solutions of Linear Programming problems contaminated with uncertain data. Mathematical Programming Series B, 88, 411-424
Bertsimas, D., & Sim, M. (2004). The price of robustness. Operations Research, 52, 35-53
Bertsimas, D., & Thiele, A. (2004). A Robust Optimization Approach to Supply Chain Management. Lecture Notes in Computer Science, 3064, 86-100
Bidhandi, H.M., Yusuff, R.M., Ahmad, M.M., & Bakar, M.R. (2009). Development of a new approach for deterministic supply chain network design. European Journal of Operational Research, 198, 121-128
Bilgen, B. (2010). Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem. Expert Systems with Applications, 37, 4488-4495
Blackhurst, J., Wu, T., & O'Grady, P. (2004). Network-based approach to modelling uncertainty in a supply chain. International Journal of Production Research, 42, 1639-1658
Chan, F.T.S. (2003). Performance measurement in a supply chain. International Journal of Advanced Manufacturing Technology, 21, 534-548
Chen, C. L. & Lee, W. C. (2004). Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering, 28, 1131-1144
Chen, C.L., Yuan, T.Y., Chang, C.Y., Lee, W.C. & Ciou, Y.C. (2006). A Multicriteria Optimization Model for Planning of A Supply Chain Network under Demand Uncertainty. Computer Aided Chemical Engineering, 21, 2075-2080
Chen, C.L., Yuan, T.Y. & Lee, W.C. (2007). Multi-criteria fuzzy optimization for locating warehouses and distribution centers in a supply chain network. Journal of the Chinese Institute of Chemical Engineers, 38, 393-407
Chiang, W.C., Russell, R., Xu, X. & Zepeda, D. (2009). A simulationmetaheuristic approach to newspaper production and distribution supply chain problems. International Journal of Production Economics, 121, 752-767
Genin, P., Lamouri, S. & Thomas, A. (2008). Multi-facilities tactical planning robustness with experimental design. Production Planning & Control, 19, 171-182
Ghiani, G., Laporte, G., & Musmanno, R. (2004). Introduction to Logistics Systems Planning and Control. Chichester, West Sussex, England: John Wiley & Sons Ltd.
Goetschalckx, M., & Cordova, G. (2004). A methodology for the strategic design of robust global supply chains. IIE Annual Conference and Exhibition. 1303-1308
Gupta, A., Maranas, C.D., & McDonald, C.M. (2000). Mid-term supply chain planning under demand uncertainty: customer demand satisfaction and inventory management. Computers & Chemical Engineering, 24, 2613-2621
Gupta, A., & Maranas, C.D. (2003). Managing demand uncertainty in supply chain planning. Computers & Chemical Engineering, 27, 1219-1227
Gupta, A., & Maranas, C.D. (2003). Managing demand uncertainty in supply chain planning. Computers & Chemical Engineering, 27, 1219-1227
Jung, J.Y., Blau, G., Pekny, J.F., Reklaitis, G.V., & Eversdyk, D. (2004). A simulation based optimization approach to supply chain management under demand uncertainty. Computers & Chemical Engineering, 28, 2087-2106
Jung, J.Y., Blau, G., Pekny, J.F., Reklaitis, G.V., & Eversdyk, D. (2004). A simulation based optimization approach to supply chain management under demand uncertainty. Computers & Chemical Engineering, 28, 2087-2106
Komoto, H., Tomiyama, T., Silvester, S. & Brezet, H. (2009). Analyzing supply chain robustness for OEMs from a life cycle perspective using life cycle simulation. International Journal of Production Economics. In press
Li, X., & Marlin, T. E. (2009). Robust supply chain performance via Model Predictive Control. Computers & Chemical Engineering, 33, 2134-2143
List, G.F., Wood, B., Nozick, L.K., Turnquist, M.A., Jones, D.A., Kjeldgaard, E.A. & Lawton, C.R. (2003). Robust optimization for fleet planning under uncertainty. Transportation Research Part E, 39, 209-227
Melo, M.T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management - A review. European Journal of Operational Research, 196, 401-412
Min, H., & Zhou, G.G. (2002). Supply chain modeling: past, present and future. Computers & Industrial Engineering, 43, 231-249
Mula, J., Peidro, D., Diaz-Madronero, M., & Vicens, E. (2010). Mathematical programming models for supply chain production and transport planning. European Journal of Operational Research, 204, 377-390
Mulvey, J.M., Vanderbei, R.J., & Zenios, S.A. (1995). Robust Optimization of Large-Scale Systems. Operations Research, 43, 264-281
Pan, F. & Nagi, R. (2010). Robust supply chain design under uncertain demand in agile manufacturing. Computers & Operations Research, 37, 668-683
Pishvaee, M.S., Rabbani, M. & Torabi, S.A. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35, 637-649
Sabri, E.H., & Beamon, B.M. (2000). A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega-International Journal of Management Science, 28, 581–598
Santoso, T., Ahmed, S., Goetschalckx, M., & Shapiro, A. (2005). A stochastic programming approach for supply chain network design under uncertainty. European Journal of Operational Research, 167, 96-115
Sungur, I., Ordoñez, F., & Dessouky, M. (2008). A robust optimization approach for the capacitated vehicle routing problem with demand uncertainty. IIE Transactions, 40, 509-523
Van Landeghem, H. & Vanmaele, H. (2002). Robust planning: a new paradigm for demand chain planning. Journal Of Operations Management, 20, 769-783
Yang, T., Wen, Y.F. & Wang, F.F. (2009). Evaluation of robustness of supply chain information-sharing strategies using a hybrid Taguchi and multiple criteria decision-making method. International Journal of Production Economics. In press
Yu, C. S., & Li, H. L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64, 385-397
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10818/3917
dc.identifier.local.none.fl_str_mv 152817
TE05485
identifier_str_mv Aghezzaf, E. (2005). Capacity planning and warehouse location in supply chains with uncertain demands. Journal of the Operational Research Society, 56, 453-462
Ali, S., Maciejewski, A.A., Siegel, H.J. & Kim, J.K. (2004). Measuring the robustness of a resource allocation. IEEE Transactions on Parallel and Distributed Systems, 15, 630-641
Azaron, A., Brown, K.N., Tarim, S.A. & Modarres, M. (2008). A multi-objective stochastic programming approach for supply chain design considering risk. International Journal of Production Economics, 116, 129-138
Ben-Tal, A., & Nemirovski, A. (2000). Robust solutions of Linear Programming problems contaminated with uncertain data. Mathematical Programming Series B, 88, 411-424
Bertsimas, D., & Sim, M. (2004). The price of robustness. Operations Research, 52, 35-53
Bertsimas, D., & Thiele, A. (2004). A Robust Optimization Approach to Supply Chain Management. Lecture Notes in Computer Science, 3064, 86-100
Bidhandi, H.M., Yusuff, R.M., Ahmad, M.M., & Bakar, M.R. (2009). Development of a new approach for deterministic supply chain network design. European Journal of Operational Research, 198, 121-128
Bilgen, B. (2010). Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem. Expert Systems with Applications, 37, 4488-4495
Blackhurst, J., Wu, T., & O'Grady, P. (2004). Network-based approach to modelling uncertainty in a supply chain. International Journal of Production Research, 42, 1639-1658
Chan, F.T.S. (2003). Performance measurement in a supply chain. International Journal of Advanced Manufacturing Technology, 21, 534-548
Chen, C. L. & Lee, W. C. (2004). Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering, 28, 1131-1144
Chen, C.L., Yuan, T.Y., Chang, C.Y., Lee, W.C. & Ciou, Y.C. (2006). A Multicriteria Optimization Model for Planning of A Supply Chain Network under Demand Uncertainty. Computer Aided Chemical Engineering, 21, 2075-2080
Chen, C.L., Yuan, T.Y. & Lee, W.C. (2007). Multi-criteria fuzzy optimization for locating warehouses and distribution centers in a supply chain network. Journal of the Chinese Institute of Chemical Engineers, 38, 393-407
Chiang, W.C., Russell, R., Xu, X. & Zepeda, D. (2009). A simulationmetaheuristic approach to newspaper production and distribution supply chain problems. International Journal of Production Economics, 121, 752-767
Genin, P., Lamouri, S. & Thomas, A. (2008). Multi-facilities tactical planning robustness with experimental design. Production Planning & Control, 19, 171-182
Ghiani, G., Laporte, G., & Musmanno, R. (2004). Introduction to Logistics Systems Planning and Control. Chichester, West Sussex, England: John Wiley & Sons Ltd.
Goetschalckx, M., & Cordova, G. (2004). A methodology for the strategic design of robust global supply chains. IIE Annual Conference and Exhibition. 1303-1308
Gupta, A., Maranas, C.D., & McDonald, C.M. (2000). Mid-term supply chain planning under demand uncertainty: customer demand satisfaction and inventory management. Computers & Chemical Engineering, 24, 2613-2621
Gupta, A., & Maranas, C.D. (2003). Managing demand uncertainty in supply chain planning. Computers & Chemical Engineering, 27, 1219-1227
Jung, J.Y., Blau, G., Pekny, J.F., Reklaitis, G.V., & Eversdyk, D. (2004). A simulation based optimization approach to supply chain management under demand uncertainty. Computers & Chemical Engineering, 28, 2087-2106
Komoto, H., Tomiyama, T., Silvester, S. & Brezet, H. (2009). Analyzing supply chain robustness for OEMs from a life cycle perspective using life cycle simulation. International Journal of Production Economics. In press
Li, X., & Marlin, T. E. (2009). Robust supply chain performance via Model Predictive Control. Computers & Chemical Engineering, 33, 2134-2143
List, G.F., Wood, B., Nozick, L.K., Turnquist, M.A., Jones, D.A., Kjeldgaard, E.A. & Lawton, C.R. (2003). Robust optimization for fleet planning under uncertainty. Transportation Research Part E, 39, 209-227
Melo, M.T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management - A review. European Journal of Operational Research, 196, 401-412
Min, H., & Zhou, G.G. (2002). Supply chain modeling: past, present and future. Computers & Industrial Engineering, 43, 231-249
Mula, J., Peidro, D., Diaz-Madronero, M., & Vicens, E. (2010). Mathematical programming models for supply chain production and transport planning. European Journal of Operational Research, 204, 377-390
Mulvey, J.M., Vanderbei, R.J., & Zenios, S.A. (1995). Robust Optimization of Large-Scale Systems. Operations Research, 43, 264-281
Pan, F. & Nagi, R. (2010). Robust supply chain design under uncertain demand in agile manufacturing. Computers & Operations Research, 37, 668-683
Pishvaee, M.S., Rabbani, M. & Torabi, S.A. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35, 637-649
Sabri, E.H., & Beamon, B.M. (2000). A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega-International Journal of Management Science, 28, 581–598
Santoso, T., Ahmed, S., Goetschalckx, M., & Shapiro, A. (2005). A stochastic programming approach for supply chain network design under uncertainty. European Journal of Operational Research, 167, 96-115
Sungur, I., Ordoñez, F., & Dessouky, M. (2008). A robust optimization approach for the capacitated vehicle routing problem with demand uncertainty. IIE Transactions, 40, 509-523
Van Landeghem, H. & Vanmaele, H. (2002). Robust planning: a new paradigm for demand chain planning. Journal Of Operations Management, 20, 769-783
Yang, T., Wen, Y.F. & Wang, F.F. (2009). Evaluation of robustness of supply chain information-sharing strategies using a hybrid Taguchi and multiple criteria decision-making method. International Journal of Production Economics. In press
Yu, C. S., & Li, H. L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64, 385-397
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dc.publisher.program.none.fl_str_mv Maestría en Diseño y Gestión de Procesos
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spelling González Rodríguez, Leonardo JoséTordecilla Madera, Rafael DavidMagister en Diseño y Gestión de Procesos2012-11-13T14:26:42Z2012-11-13T14:26:42Z2012-11-132012Aghezzaf, E. (2005). Capacity planning and warehouse location in supply chains with uncertain demands. Journal of the Operational Research Society, 56, 453-462Ali, S., Maciejewski, A.A., Siegel, H.J. & Kim, J.K. (2004). Measuring the robustness of a resource allocation. IEEE Transactions on Parallel and Distributed Systems, 15, 630-641Azaron, A., Brown, K.N., Tarim, S.A. & Modarres, M. (2008). A multi-objective stochastic programming approach for supply chain design considering risk. International Journal of Production Economics, 116, 129-138Ben-Tal, A., & Nemirovski, A. (2000). Robust solutions of Linear Programming problems contaminated with uncertain data. Mathematical Programming Series B, 88, 411-424Bertsimas, D., & Sim, M. (2004). The price of robustness. Operations Research, 52, 35-53Bertsimas, D., & Thiele, A. (2004). A Robust Optimization Approach to Supply Chain Management. Lecture Notes in Computer Science, 3064, 86-100Bidhandi, H.M., Yusuff, R.M., Ahmad, M.M., & Bakar, M.R. (2009). Development of a new approach for deterministic supply chain network design. European Journal of Operational Research, 198, 121-128Bilgen, B. (2010). Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem. Expert Systems with Applications, 37, 4488-4495Blackhurst, J., Wu, T., & O'Grady, P. (2004). Network-based approach to modelling uncertainty in a supply chain. International Journal of Production Research, 42, 1639-1658Chan, F.T.S. (2003). Performance measurement in a supply chain. International Journal of Advanced Manufacturing Technology, 21, 534-548Chen, C. L. & Lee, W. C. (2004). Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering, 28, 1131-1144Chen, C.L., Yuan, T.Y., Chang, C.Y., Lee, W.C. & Ciou, Y.C. (2006). A Multicriteria Optimization Model for Planning of A Supply Chain Network under Demand Uncertainty. Computer Aided Chemical Engineering, 21, 2075-2080Chen, C.L., Yuan, T.Y. & Lee, W.C. (2007). Multi-criteria fuzzy optimization for locating warehouses and distribution centers in a supply chain network. Journal of the Chinese Institute of Chemical Engineers, 38, 393-407Chiang, W.C., Russell, R., Xu, X. & Zepeda, D. (2009). A simulationmetaheuristic approach to newspaper production and distribution supply chain problems. International Journal of Production Economics, 121, 752-767Genin, P., Lamouri, S. & Thomas, A. (2008). Multi-facilities tactical planning robustness with experimental design. Production Planning & Control, 19, 171-182Ghiani, G., Laporte, G., & Musmanno, R. (2004). Introduction to Logistics Systems Planning and Control. Chichester, West Sussex, England: John Wiley & Sons Ltd.Goetschalckx, M., & Cordova, G. (2004). A methodology for the strategic design of robust global supply chains. IIE Annual Conference and Exhibition. 1303-1308Gupta, A., Maranas, C.D., & McDonald, C.M. (2000). Mid-term supply chain planning under demand uncertainty: customer demand satisfaction and inventory management. Computers & Chemical Engineering, 24, 2613-2621Gupta, A., & Maranas, C.D. (2003). Managing demand uncertainty in supply chain planning. Computers & Chemical Engineering, 27, 1219-1227Gupta, A., & Maranas, C.D. (2003). Managing demand uncertainty in supply chain planning. Computers & Chemical Engineering, 27, 1219-1227Jung, J.Y., Blau, G., Pekny, J.F., Reklaitis, G.V., & Eversdyk, D. (2004). A simulation based optimization approach to supply chain management under demand uncertainty. Computers & Chemical Engineering, 28, 2087-2106Jung, J.Y., Blau, G., Pekny, J.F., Reklaitis, G.V., & Eversdyk, D. (2004). A simulation based optimization approach to supply chain management under demand uncertainty. Computers & Chemical Engineering, 28, 2087-2106Komoto, H., Tomiyama, T., Silvester, S. & Brezet, H. (2009). Analyzing supply chain robustness for OEMs from a life cycle perspective using life cycle simulation. International Journal of Production Economics. In pressLi, X., & Marlin, T. E. (2009). Robust supply chain performance via Model Predictive Control. Computers & Chemical Engineering, 33, 2134-2143List, G.F., Wood, B., Nozick, L.K., Turnquist, M.A., Jones, D.A., Kjeldgaard, E.A. & Lawton, C.R. (2003). Robust optimization for fleet planning under uncertainty. Transportation Research Part E, 39, 209-227Melo, M.T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management - A review. European Journal of Operational Research, 196, 401-412Min, H., & Zhou, G.G. (2002). Supply chain modeling: past, present and future. Computers & Industrial Engineering, 43, 231-249Mula, J., Peidro, D., Diaz-Madronero, M., & Vicens, E. (2010). Mathematical programming models for supply chain production and transport planning. European Journal of Operational Research, 204, 377-390Mulvey, J.M., Vanderbei, R.J., & Zenios, S.A. (1995). Robust Optimization of Large-Scale Systems. Operations Research, 43, 264-281Pan, F. & Nagi, R. (2010). Robust supply chain design under uncertain demand in agile manufacturing. Computers & Operations Research, 37, 668-683Pishvaee, M.S., Rabbani, M. & Torabi, S.A. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35, 637-649Sabri, E.H., & Beamon, B.M. (2000). A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega-International Journal of Management Science, 28, 581–598Santoso, T., Ahmed, S., Goetschalckx, M., & Shapiro, A. (2005). A stochastic programming approach for supply chain network design under uncertainty. European Journal of Operational Research, 167, 96-115Sungur, I., Ordoñez, F., & Dessouky, M. (2008). A robust optimization approach for the capacitated vehicle routing problem with demand uncertainty. IIE Transactions, 40, 509-523Van Landeghem, H. & Vanmaele, H. (2002). Robust planning: a new paradigm for demand chain planning. Journal Of Operations Management, 20, 769-783Yang, T., Wen, Y.F. & Wang, F.F. (2009). Evaluation of robustness of supply chain information-sharing strategies using a hybrid Taguchi and multiple criteria decision-making method. International Journal of Production Economics. In pressYu, C. S., & Li, H. L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64, 385-397http://hdl.handle.net/10818/3917152817TE05485El presente proyecto establece y evalúa una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministros. Inicialmente se definieron los requerimientos de robustez, las características de desempeño y los parámetros de perturbación asociados al sistema estudiado. Luego se construyó un modelo de programación lineal que representara al sistema y con el cual se identificaron ciertas estructuras que adquiría el mismo. Para cada estructura se determinó el impacto de los parámetros de perturbación sobre los requerimientos de robustez y las características de desempeño. Finalmente, con estos resultados se concluyó que una cadena de suministros más robusta es más costosa, independientemente de la estructura considerada.spaUniversidad de La SabanaMaestría en Diseño y Gestión de ProcesosFacultad de IngenieríaUniversidad de La SabanaIntellectum Repositorio Universidad de La SabanaCostos de distribución-InvestigacionesCanales de comercialización-InvestigacionesLogística en los negocios-InvestigacionesAplicación y evaluación de una metodología basada en el procedimiento FePIA para caracterizar la relación robustez-costo en el problema de planeación de la capacidad y localización de almacenes en cadenas de suministromasterThesisTesis de maestríapublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_bdcchttp://purl.org/coar/access_right/c_abf2ORIGINALRafael David Tordecilla Madera.pdfRafael David Tordecilla Madera.pdfVer documento en PDFapplication/pdf1073159https://intellectum.unisabana.edu.co/bitstream/10818/3917/1/Rafael%20David%20Tordecilla%20Madera.pdf06f737a2dc6440ca2f3d39db3b27ef4eMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8498https://intellectum.unisabana.edu.co/bitstream/10818/3917/2/license.txtf52a2cfd4df262e08e9b300d62c85cabMD52TEXTRafael David Tordecilla Madera.pdf.txtRafael David Tordecilla Madera.pdf.txtExtracted Texttext/plain203929https://intellectum.unisabana.edu.co/bitstream/10818/3917/3/Rafael%20David%20Tordecilla%20Madera.pdf.txt0f21fe309858ee63470d26f3112d9ee0MD5310818/3917oai:intellectum.unisabana.edu.co:10818/39172019-10-10 16:48:10.289Intellectum Universidad de la Sabanacontactointellectum@unisabana.edu.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