Gestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operaciones
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La integración de los flujos reversos y directos en la cadena de suministro, trae beneficios al reducir costos y evitar el daño ambiental porque se recupera valor de los residuos sólidos; esta integración se conoce como la cadena de suministro de ciclo cerrado. La mayoría de experiencias que relacionan cadena de suministro de ciclo cerrado y decisiones de gestión de residuos sólidos, provienen de países desarrollados con estrictas regulaciones ambientales y usan técnicas de invetigación de operaciones. El objetivo se este artículo es identificar la factibilidad de aplicar técnicas de investigación de operaciones a las decisiones de gestión de residuos sólidos en las cadena de suministro de ciclo cerrado en países en desarrollo como Colombia... Ver más
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Gestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operaciones Ministerio de Vivienda, Ciudad y Territorio. (2013). Decreto 2981 “Por el cual se reglamenta la prestación del servicio de aseo”. República de Colombia. Queiruga, D., Walther, G., González-Benito, J. y Spengler, T. (2008). Evaluation of sites for the location of WEEE recycling plants in Spain.Waste Management, 28(1), 181-190. Pishvaee, M.S., Rabbani, M. y Torabi, S.A. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35(2), 637-649. Pishvaee, M.S., Jolai, F. y Razmi, J. (2009). A stochastic optimization model for integrated forward/reverse logistics network design. Journal of Manufacturing Systems, 28(4), 107-114. Pires, A., Chang, N.-B. y Martinho, G. (2011). An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Setúbal Peninsula, Portugal. Resources, Conservation and Recycling, 56(1), 7-21. Peña Montoya, C.C., Torres Lozada, P., Vidal Holguín, C.J. y Marmolejo Rebellón, L.F. (2013). La logística de reversa y su relación con la gestión integral y sostenible de residuos sólidos en sectores productivos. Revista Entramado, 9(1), 226-238. Paksoy, T., Bektas, T. y Özceylan, E. (2011). Operational and environmental performance measures in a multi-product closed-loop supply chain. Transportation Research Part E: Logistics and Transportation Review, 47(4), 532-546. Paksoy, T. y Bektas, T. (2011). Operational and environmental performance measures in amulti-product closed-loop supply chain. Transportation Review. Part E: Logistics and Transportation Review, 47(4), 532-546. Paksoy, T., Özceylan, E. y Weber, G. (2010). A multi objective model for optimization of a green supply chain network. AIP Conference Proceedings, 1239(1). p. 311. Özkir, V. y Basligil, H. (2013). Multi-objective optimization of closed-loop supply chains in uncertain environment. Journal of Cleaner Production, 41, 114-125. Önüt, S. y Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9), 1552-1559. Olugu, E.U. y Wong, K.Y. (2012). An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry. Expert Systems with Applications, 39(1), 375-384. Nas, B., Cay, T., Iscan, F. y Berktay, A. (2010). Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteria evaluation. Environmental monitoring and assessment, 160(1-4), 491-500. Mitra, S. (2012). Inventory management in a two-echelon closed-loop supply chain with correlated demands and returns. Computers & Industrial Engineering, 62(4), 870-879. Mergias, I., Moustakas, K., Papadopoulos, A. y Loizidou, M. (2007). Multi-criteria decision aid approach for the selection of the best compromise management scheme for ELVs: The case of Cyprus. Journal of Hazardous Materials, 147(3), 706-717. Rogers, D.S. y Tibben-Lembke, R. S. (1998). Reverse Logistics and the Environment. En RLEC (Ed.), Going Backwards:Reverse Logistics Trends and Practices (pp. 101-136). Lu, T. y Zhao, X. (2010). Reverse Logistics Network Design with Consideration of Forward and Reverse Facility Integration. Paper presented at the E-Business and E-Government (ICEE). Liao, C.H. y Chiu, A.S. (2011). Evaluate municipal solid waste management problems using hierarchical framework. Procedia-Social and Behavioral Sciences, 25, 353-362. Liamsanguan, C. y Gheewala, S.H. (2008). LCA: A decision support tool for environmental assessment of MSW management systems. Journal of Environmental Management, 87 (1), 132-138. Lee, D.-H., Dong, M. y Bian, W. (2010). The design of sustainable logistics network under uncertainty. International Journal of Production Economics, 128(1), 159-166. Khan, S. y Faisal, M.N. (2008). An analytic network process model for municipal solid waste disposal options. Waste management, 28(9), 1500-1508. Khadivi, M.R. y Fatemi Ghomi, S.M.T. (2012). Solid waste facilities location using of analytical network process and data envelopment analysis approaches. Waste management, 32(6), 1258-1265. Kaya, I. (2012). Evaluation of outsourcing alternatives under fuzzy environment for waste management. Resources, Conservation and Recycling, 60, 107-118. Karmperis, A.C., Sotirchos, A., Aravossis, K. y Tatsiopoulos, I.P. (2012). Waste management project’s alternatives: A risk-based multi-criteria assessment (RBMCA) approach. Waste management, 32(1), 194-212. Kannan, G., Sasikumar, P. y Devika, K. (2010). A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling. Applied Mathematical Modelling, 34(3), 655-670. Jianghong, M. (2010). An Integrated Supply Chain Modeling and Simulation Based on System Dynamics. Paper presented at the Management and Service Science (MASS). Hung, M.L., Ma, H. y Yang, W.F. (2007). A novel sustainable decision making model for municipal solid waste management. Waste Management, 27(2), 209-219. Herva, M., y Roca, E. (2013). Ranking municipal solid waste treatment alternatives based on ecological footprint and multi-criteria analysis. Ecological Indicators, 25, 77-84. Granada-Aguirre, L.F. (2009). Gestión ambiental empresarial: Pasado, presente y futuro de las normas e instituciones ambientales en Colombia. Libre Empresa, 6(1), 63-79. ________. (2010). Simultaneous design and planning of supply chains with reverse flows: A generic modelling framework. European journal of operational research, 203(2), 336-349. Ramezani, M., Bashiri, M. y Tavakkoli-Moghaddam, R. (2013). A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level. Applied Mathematical Modelling, 37(1), 328-344. Rousis, K., Moustakas, K., Malamis, S., Papadopoulos, A. y Loizidou, M. (2008). Multi-criteria analysis for the determination of the best WEEE management scenario in Cyprus. Waste Management, 28(10), 1941-1954. Georgiadis, P. y Besiou, M. (2008). Sustainability in electrical and electronic equipment closed-loop supply chains: A System Dynamics approach, Journal of Cleaner Production, 16, 1665-1678. Wang, L. y Murata T. (2011). Study of Optimal Capacity Planning for Remanufacturing Activities in Closed-Loop Supply Chain using System Dynamics Modeling Proceeding of the IEEE International Conference on Automation and Logistics Chongqing, China. Text http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article Zhou, Y. y Wang, S. (2008). Generic model of reverse logistics network design. Journal of Transportation Systems Engineering and Information Technology, 8(3), 71-78. Zhang, G. y Amin, S.H. (2011). Network design of a closed-loop supply chain with uncertain demand and return. In Service Operations, Logistics, and Informatics (SOLI), 376-379. Zeballos, L.J., Gomes, M.I., Barbosa-Povoa, A.P. y Novais, A.Q. (2012). Addressing the uncertain quality and quantity of returns in closed-loop supply chains. Computers & Chemical Engineering, 47, 237-247. Yeomans, J.S. (2007). Solid waste planning under uncertainty using evolutionary simulation-optimization. Socio-Economic Planning Sciences, 41(1), 38-60. Xianfeng, L., Jianwei, Q. y Meilian, L. (2010). Design and simulation WEEE reverse logistics network in Guangxi. Paper presented at the Optoelectronics and Image Processing (ICOIP). Xi, B.D., Su, J., Huang, G.H., Qin, X.S., Jiang, Y.H., Huo, S.L. y Yao, B. (2010). An integrated optimization approach and multi-criteria decision analysis for supporting the waste-management system of the City of Beijing, China. Engineering Applications of Artificial Intelligence, 23(4), 620-631. Wang, F., Lai, X. y Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision Support Systems, 51(2), 262-269. Roussat, N., Dujet, C. y Mehu, J. (2009). Choosing a sustainable demolition waste management strategy using multicriteria decision analysis. Waste Management, 29(1), 12-20. Vlachos, D., Georgiadis, P. y Iakovou, E. (2007). A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains. Computers & Operations Research, 34, 367-394. Vego, G., Kucar-Dragicevic, S. y Koprivanac, N. (2008). Application of multi-criteria decision-making on strategic municipal solid waste management in Dalmatia, Croatia. Waste Management, 28(11), 2192-2201 Ulukan, H.Z. y Kop, Y. (2009). Multi-criteria decision making (MCDM) of solid waste collection methods using life cycle assessment (LCA) outputs. In Computers & Industrial Engineering, 2009. CIE 2009. pp. 584-589. Thiell, M., Soto, J.P., Madiedo, J.P. y van Hoof, B. (2011). Green Logistics: Global Practices and their Implementation in Emerging Markets. Green Finance and Sustainability. Business Science Reference, 334-357. Talbot, S., Lefebvre, É. y Lefebvre, L. (2007). Closed-loop supply chain activities and derived benefits in manufacturing SMEs. Journal of Manufacturing Technology Management, 18(6), 627-658. Tako, A. y Robinson, S. (2012). The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems, 52(4), 802-815. Su, J.P., Chiueh, P.T., Hung, M.L. y Ma, H.W. (2007). Analyzing policy impact potential for municipal solid waste management decision-making: A case study of Taiwan. Resources, Conservation and Recycling, 51(2), 418-434. Stindt, D. y Sahamie, R. (2014). Review of research on closed loop supply chain management in the process industry. Flexible Services and Manufacturing Journal, 26(1-2), 268-293. Spengler, T. y Schröter, M. (2003). Special Section: Closed-Loop Supply Chains: Practice and Potential: Strategic Management of Spare Parts in Closed-Loop Supply Chains - A System Dynamics Approach. Interfaces, 33, 7-17. Souza, G.C. (2013). Closed Loop Supply Chains: A Critical Review, and Future Research. Decision Sciences, 44(1), 7-38. Soma, M., Kondoh, S. y Umeda, Y (2003). Simulation of closed-loop manufacturing systems focused on material balances in Environmentally Conscious Design and Inverse Manufacturing. EcoDesign '03. pp. 95-101. Shi, Y., Wang, J. y Xiao, S. (2010). Research on reverse logistics network design for television remanufacturing based on operation research method and simulation. Paper presented at the 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management. Shapiro, J.F. (2007). Modeling the supply chain. Vol. 2. Cengage Learning. Senthil, S., Srirangacharyulu, B. y Ramesh, A. (2012). A decision making methodology for the selection of reverse logistics operating channels. Procedia Engineering, 38, 418-428. Gomes-Salema, M.I., Barbosa-Povoa, A.P. y Novais, A.Q. (2007). An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty. European Journal of Operational Research, 179(3), 1063-1077. Garfi, M., Tondelli, S. y Bonoli, A. (2009). Multi-criteria decision analysis for waste management in Saharawi refugee camps. Waste management, 29(10), 2729-2739. Fröhling, M., Schwaderer, F., Bartusch, H. y Rentz, O. Integrated planning of transportation and recycling for multiple plants based on process simulation. European Journal of Operational Research, 207, 958-970. simulación Español https://revistasojs.ucaldas.edu.co/index.php/lunazul/article/view/1251 Luna Azul Universidad de Caldas text/html application/pdf Artículo de revista Núm. 41 , Año 2015 : Julio - Diciembre 41 residuos sólidos Luna Azul - 2015 optimización análisis multicriterio ciclo cerrado Cadena de suministro Marmolejo Rebellón, Luis Fernando Torres Lozada, Patricia Vidal Holguín, Carlos Julio Osorio Gómez, Juan Carlos Peña Montoya, Claudia Cecilia La integración de los flujos reversos y directos en la cadena de suministro, trae beneficios al reducir costos y evitar el daño ambiental porque se recupera valor de los residuos sólidos; esta integración se conoce como la cadena de suministro de ciclo cerrado. La mayoría de experiencias que relacionan cadena de suministro de ciclo cerrado y decisiones de gestión de residuos sólidos, provienen de países desarrollados con estrictas regulaciones ambientales y usan técnicas de invetigación de operaciones. El objetivo se este artículo es identificar la factibilidad de aplicar técnicas de investigación de operaciones a las decisiones de gestión de residuos sólidos en las cadena de suministro de ciclo cerrado en países en desarrollo como Colombia. Se identificaron variables importantes de los articulos revisados tales como los diferentes tipos de residuos, las regiones y el uso de técnicas de optmización, simulación y multicriterio. La metodología de vigilancia tecnológica se uso para correlacionar estas variables. Los resultados mostraron que la técnica de multicriterio es usada con más frecuencia porque permite la consideración de varios aspectos en una misma decisión; por lo tanto, el uso de esta técnica sería conveniente para enfrentar efectivamente las principales decisiones en las incipientes cadenas de suministro de ciclo cerrado en países en desarrollo. https://creativecommons.org/licenses/by-nc-sa/4.0/ Publication Achillas, C., Vlachokostas, C., Aidonis, D., Moussiopoulos, Iakovou, E. y Banias, G. (2010). Optimising reverse logistics network to support policy-making in the case of Electrical and Electronic Equipment. Waste Management, 30(12), 2592-2600. Besiou, M., Georgiadis, P. y Van Wassenhove, L. N. (2012). Official recycling and scavengers: Symbiotic or conflicting? European Journal of Operational Research, 218(2), 563-576. Chen, C.T., Lin, C.T. y Huang, S.F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics, 102(2), 289-301. Contreras, F., Hanaki, K., Aramaki, T. y Connors, S. (2008). Application of analytical hierarchy process to analyze stakeholders preferences for municipal solid waste management plans, Boston, USA. Resources, Conservation and Recycling, 52(7), 979-991. Dale, R., Melamed, B. y Lembke, R. (2012). Modeling and Analysis of Reverse Logistics. Journal of Business Logistics, 33(2), 107-117. Casas, J.J. y Cerón, K. (2013). Método cuantitativo para la configuración de la cadena de logística inversa de un tipo de residuo de aparato eléctrico o electrónico. Trabajo de grado, Ingeniería Industrial, Universidad del Valle. Cali. Bollinger, D. y Pictet, J. (2008). Multiple criteria decision analysis of treatment and land- filling technologies for waste incineration residues. Omega, 36(3), 418-428. Biehl, M., Prater, E. y Realff, M.J. (2007). Assessing performance and uncertainty in developing carpet reverse logistics systems. Computers & Operations Research, 34(2), 443-463. De Brito, M.P. y van der Laan, E. A. (2010). Supply Chain Management and Sustainability: Procrastinating Integration in Mainstream Research. Sustainability, 2(4), 859-870. Demirel, N.Ö. y Gökçen, H. (2008). A mixed integer programming model for remanufacturing in reverse logistics environment. The International Journal of Advanced Manufacturing Technology, 39(11-12), 1197-1206. Dhouib, D. y Elloumi, S. (2011). A new multi-criteria approach dealing with dependent and heterogeneous criteria for end-of-life product strategy. Applied Mathematics and Computation, 218(5), 1668-1681. Ekmekçioglu, M., Kaya, T. y Kahraman, C. (2010). Fuzzy multicriteria disposal method and site selection for municipal solid waste. Waste Management, 30(8), 1729 -1736. Barker, T.J. y Zabinsky, Z.B. (2011). A multicriteria decision making model for reverse logistics using analytical hierarchy process. Omega, 39(5), 558-573. Banar, M., Özkan, A. y Kulaç, A. (2010). Choosing a recycling system using ANP and ELECTRE III techniques. Turkish J Eng Env Sci, 34, 145-154. Aragonés-Beltrán, P., Pastor-Ferrando, J. P., García-García, F. y Pascual-Agulló, A. (2010). An analytic network process approach for siting a municipal solid waste plant in the metropolitan area of Valencia (Spain). Journal of Environmental Management, 91(5), 1071-1086. Escorsa, P. y Maspons, R. (2001). De la vigilancia tecnológica a las inteligencia competitiva. Madrid: Ed. Financial Times - Prentice Hall (Grupo Pearson). Ferguson, M.E. y Souza, G.C. (2010). Closed-loop supply chains: new developments to improve the sustainability of business practices. CRC Press. Amin, S.H. y Zhang, G. (2013). A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Applied Mathematical Modelling, 37(6), 4165-4176. Figueira, J., Greco, S. y Ehrgott, M. (2005). Multiple criteria decision analysis: state of the art surveys. Vol. 78. Springer. ________. (2012b). A proposed mathematical model for closed-loop network configuration based on product life cycle, The International Journal of Advanced Manufacturing Technology, 58, 791-801. Amin, S.H. y Zhang, G. (2012a). An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach. Expert Systems with Applications, 39(8), 6782-6791. Achillas, C., Moussiopoulos, N., Karagiannidis, A., Banias, G. y Perkoulidis, G. (2013). The use of multi-criteria decision analysis to tackle waste management problems: a literature review. Waste Management & Research, 31(2), 115-129. Fleischmann, M., Krikke, H.R., Dekker, R. y Flapper, S.D.P. (2000). A characterisation of logistics networks for product recovery. Omega, 28(6), 653-666. Chang, N.B., Parvathinathan, G. y Breeden, J.B. (2008). Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. Journal of environmental management, 87(1), 139-153 Supply chain The integration of reverse and direct flows within the supply chain is highly benefitial to reduce costs and avoid the enviromental damage because value from the solid waste is recovered; this integration is known as closed-loop supply chain. Most of the reported experiences regarding closed-loop supply chains and solid waste management decisions come from developed countries with strict environmental regulations and use of operations research techniques.This paper aims to identify the feasibility of applying operations research techniques to solid waste magement decisions within closed-loop supply chains in developing countries such as Colombia. Important variables such as the different kinds of solid waste, the regions and the use of optimization, simulation and multi-criteria techniques were identified by reviewing research articles. Technologic watch methodology was used to correlate these variables. The results showed that the multi-criteria technique is most frequently used because it allows including different aspects related to a single decision; therefore, the use of this technique would be appropiate to effectively approach the main decisions at the emerging closed-loop supply chains in developing countries. simulation closed loop optimization solid waste Journal article multicriteria analysis Solid waste management in closed-loop supply chains from the perspective of operations research 0122-5391 5 https://doi.org/10.17151/10.17151/luaz.2015.41.2 10.17151/10.17151/luaz.2015.41.2 https://revistasojs.ucaldas.edu.co/index.php/lunazul/article/download/1251/7339 2015-07-01 2015-07-01T00:00:00Z https://revistasojs.ucaldas.edu.co/index.php/lunazul/article/download/1251/1174 2015-07-01T00:00:00Z 28 1909-2474 |
institution |
UNIVERSIDAD DE CALDAS |
thumbnail |
https://nuevo.metarevistas.org/UNIVERSIDADDECALDAS/logo.png |
country_str |
Colombia |
collection |
Luna Azul |
title |
Gestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operaciones |
spellingShingle |
Gestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operaciones Marmolejo Rebellón, Luis Fernando Torres Lozada, Patricia Vidal Holguín, Carlos Julio Osorio Gómez, Juan Carlos Peña Montoya, Claudia Cecilia simulación residuos sólidos optimización análisis multicriterio ciclo cerrado Cadena de suministro Supply chain simulation closed loop optimization solid waste multicriteria analysis |
title_short |
Gestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operaciones |
title_full |
Gestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operaciones |
title_fullStr |
Gestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operaciones |
title_full_unstemmed |
Gestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operaciones |
title_sort |
gestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operaciones |
title_eng |
Solid waste management in closed-loop supply chains from the perspective of operations research |
description |
La integración de los flujos reversos y directos en la cadena de suministro, trae beneficios al reducir costos y evitar el daño ambiental porque se recupera valor de los residuos sólidos; esta integración se conoce como la cadena de suministro de ciclo cerrado. La mayoría de experiencias que relacionan cadena de suministro de ciclo cerrado y decisiones de gestión de residuos sólidos, provienen de países desarrollados con estrictas regulaciones ambientales y usan técnicas de invetigación de operaciones. El objetivo se este artículo es identificar la factibilidad de aplicar técnicas de investigación de operaciones a las decisiones de gestión de residuos sólidos en las cadena de suministro de ciclo cerrado en países en desarrollo como Colombia. Se identificaron variables importantes de los articulos revisados tales como los diferentes tipos de residuos, las regiones y el uso de técnicas de optmización, simulación y multicriterio. La metodología de vigilancia tecnológica se uso para correlacionar estas variables. Los resultados mostraron que la técnica de multicriterio es usada con más frecuencia porque permite la consideración de varios aspectos en una misma decisión; por lo tanto, el uso de esta técnica sería conveniente para enfrentar efectivamente las principales decisiones en las incipientes cadenas de suministro de ciclo cerrado en países en desarrollo.
|
description_eng |
The integration of reverse and direct flows within the supply chain is highly benefitial to reduce costs and avoid the enviromental damage because value from the solid waste is recovered; this integration is known as closed-loop supply chain. Most of the reported experiences regarding closed-loop supply chains and solid waste management decisions come from developed countries with strict environmental regulations and use of operations research techniques.This paper aims to identify the feasibility of applying operations research techniques to solid waste magement decisions within closed-loop supply chains in developing countries such as Colombia. Important variables such as the different kinds of solid waste, the regions and the use of optimization, simulation and multi-criteria techniques were identified by reviewing research articles. Technologic watch methodology was used to correlate these variables. The results showed that the multi-criteria technique is most frequently used because it allows including different aspects related to a single decision; therefore, the use of this technique would be appropiate to effectively approach the main decisions at the emerging closed-loop supply chains in developing countries.
|
author |
Marmolejo Rebellón, Luis Fernando Torres Lozada, Patricia Vidal Holguín, Carlos Julio Osorio Gómez, Juan Carlos Peña Montoya, Claudia Cecilia |
author_facet |
Marmolejo Rebellón, Luis Fernando Torres Lozada, Patricia Vidal Holguín, Carlos Julio Osorio Gómez, Juan Carlos Peña Montoya, Claudia Cecilia |
topicspa_str_mv |
simulación residuos sólidos optimización análisis multicriterio ciclo cerrado Cadena de suministro |
topic |
simulación residuos sólidos optimización análisis multicriterio ciclo cerrado Cadena de suministro Supply chain simulation closed loop optimization solid waste multicriteria analysis |
topic_facet |
simulación residuos sólidos optimización análisis multicriterio ciclo cerrado Cadena de suministro Supply chain simulation closed loop optimization solid waste multicriteria analysis |
citationissue |
41 |
citationedition |
Núm. 41 , Año 2015 : Julio - Diciembre |
publisher |
Universidad de Caldas |
ispartofjournal |
Luna Azul |
source |
https://revistasojs.ucaldas.edu.co/index.php/lunazul/article/view/1251 |
language |
Español |
format |
Article |
rights |
http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess Luna Azul - 2015 https://creativecommons.org/licenses/by-nc-sa/4.0/ |
references |
Ministerio de Vivienda, Ciudad y Territorio. (2013). Decreto 2981 “Por el cual se reglamenta la prestación del servicio de aseo”. República de Colombia. Queiruga, D., Walther, G., González-Benito, J. y Spengler, T. (2008). Evaluation of sites for the location of WEEE recycling plants in Spain.Waste Management, 28(1), 181-190. Pishvaee, M.S., Rabbani, M. y Torabi, S.A. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35(2), 637-649. Pishvaee, M.S., Jolai, F. y Razmi, J. (2009). A stochastic optimization model for integrated forward/reverse logistics network design. Journal of Manufacturing Systems, 28(4), 107-114. Pires, A., Chang, N.-B. y Martinho, G. (2011). An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Setúbal Peninsula, Portugal. Resources, Conservation and Recycling, 56(1), 7-21. Peña Montoya, C.C., Torres Lozada, P., Vidal Holguín, C.J. y Marmolejo Rebellón, L.F. (2013). La logística de reversa y su relación con la gestión integral y sostenible de residuos sólidos en sectores productivos. Revista Entramado, 9(1), 226-238. Paksoy, T., Bektas, T. y Özceylan, E. (2011). Operational and environmental performance measures in a multi-product closed-loop supply chain. Transportation Research Part E: Logistics and Transportation Review, 47(4), 532-546. Paksoy, T. y Bektas, T. (2011). Operational and environmental performance measures in amulti-product closed-loop supply chain. Transportation Review. Part E: Logistics and Transportation Review, 47(4), 532-546. Paksoy, T., Özceylan, E. y Weber, G. (2010). A multi objective model for optimization of a green supply chain network. AIP Conference Proceedings, 1239(1). p. 311. Özkir, V. y Basligil, H. (2013). Multi-objective optimization of closed-loop supply chains in uncertain environment. Journal of Cleaner Production, 41, 114-125. Önüt, S. y Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9), 1552-1559. Olugu, E.U. y Wong, K.Y. (2012). An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry. Expert Systems with Applications, 39(1), 375-384. Nas, B., Cay, T., Iscan, F. y Berktay, A. (2010). Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteria evaluation. Environmental monitoring and assessment, 160(1-4), 491-500. Mitra, S. (2012). Inventory management in a two-echelon closed-loop supply chain with correlated demands and returns. Computers & Industrial Engineering, 62(4), 870-879. Mergias, I., Moustakas, K., Papadopoulos, A. y Loizidou, M. (2007). Multi-criteria decision aid approach for the selection of the best compromise management scheme for ELVs: The case of Cyprus. Journal of Hazardous Materials, 147(3), 706-717. Rogers, D.S. y Tibben-Lembke, R. S. (1998). Reverse Logistics and the Environment. En RLEC (Ed.), Going Backwards:Reverse Logistics Trends and Practices (pp. 101-136). Lu, T. y Zhao, X. (2010). Reverse Logistics Network Design with Consideration of Forward and Reverse Facility Integration. Paper presented at the E-Business and E-Government (ICEE). Liao, C.H. y Chiu, A.S. (2011). Evaluate municipal solid waste management problems using hierarchical framework. Procedia-Social and Behavioral Sciences, 25, 353-362. Liamsanguan, C. y Gheewala, S.H. (2008). LCA: A decision support tool for environmental assessment of MSW management systems. Journal of Environmental Management, 87 (1), 132-138. Lee, D.-H., Dong, M. y Bian, W. (2010). The design of sustainable logistics network under uncertainty. International Journal of Production Economics, 128(1), 159-166. Khan, S. y Faisal, M.N. (2008). An analytic network process model for municipal solid waste disposal options. Waste management, 28(9), 1500-1508. Khadivi, M.R. y Fatemi Ghomi, S.M.T. (2012). Solid waste facilities location using of analytical network process and data envelopment analysis approaches. Waste management, 32(6), 1258-1265. Kaya, I. (2012). Evaluation of outsourcing alternatives under fuzzy environment for waste management. Resources, Conservation and Recycling, 60, 107-118. Karmperis, A.C., Sotirchos, A., Aravossis, K. y Tatsiopoulos, I.P. (2012). Waste management project’s alternatives: A risk-based multi-criteria assessment (RBMCA) approach. Waste management, 32(1), 194-212. Kannan, G., Sasikumar, P. y Devika, K. (2010). A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling. Applied Mathematical Modelling, 34(3), 655-670. Jianghong, M. (2010). An Integrated Supply Chain Modeling and Simulation Based on System Dynamics. Paper presented at the Management and Service Science (MASS). Hung, M.L., Ma, H. y Yang, W.F. (2007). A novel sustainable decision making model for municipal solid waste management. Waste Management, 27(2), 209-219. Herva, M., y Roca, E. (2013). Ranking municipal solid waste treatment alternatives based on ecological footprint and multi-criteria analysis. Ecological Indicators, 25, 77-84. Granada-Aguirre, L.F. (2009). Gestión ambiental empresarial: Pasado, presente y futuro de las normas e instituciones ambientales en Colombia. Libre Empresa, 6(1), 63-79. ________. (2010). Simultaneous design and planning of supply chains with reverse flows: A generic modelling framework. European journal of operational research, 203(2), 336-349. Ramezani, M., Bashiri, M. y Tavakkoli-Moghaddam, R. (2013). A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level. Applied Mathematical Modelling, 37(1), 328-344. Rousis, K., Moustakas, K., Malamis, S., Papadopoulos, A. y Loizidou, M. (2008). Multi-criteria analysis for the determination of the best WEEE management scenario in Cyprus. Waste Management, 28(10), 1941-1954. Georgiadis, P. y Besiou, M. (2008). Sustainability in electrical and electronic equipment closed-loop supply chains: A System Dynamics approach, Journal of Cleaner Production, 16, 1665-1678. Wang, L. y Murata T. (2011). Study of Optimal Capacity Planning for Remanufacturing Activities in Closed-Loop Supply Chain using System Dynamics Modeling Proceeding of the IEEE International Conference on Automation and Logistics Chongqing, China. Zhou, Y. y Wang, S. (2008). Generic model of reverse logistics network design. Journal of Transportation Systems Engineering and Information Technology, 8(3), 71-78. Zhang, G. y Amin, S.H. (2011). Network design of a closed-loop supply chain with uncertain demand and return. In Service Operations, Logistics, and Informatics (SOLI), 376-379. Zeballos, L.J., Gomes, M.I., Barbosa-Povoa, A.P. y Novais, A.Q. (2012). Addressing the uncertain quality and quantity of returns in closed-loop supply chains. Computers & Chemical Engineering, 47, 237-247. Yeomans, J.S. (2007). Solid waste planning under uncertainty using evolutionary simulation-optimization. Socio-Economic Planning Sciences, 41(1), 38-60. Xianfeng, L., Jianwei, Q. y Meilian, L. (2010). Design and simulation WEEE reverse logistics network in Guangxi. Paper presented at the Optoelectronics and Image Processing (ICOIP). Xi, B.D., Su, J., Huang, G.H., Qin, X.S., Jiang, Y.H., Huo, S.L. y Yao, B. (2010). An integrated optimization approach and multi-criteria decision analysis for supporting the waste-management system of the City of Beijing, China. Engineering Applications of Artificial Intelligence, 23(4), 620-631. Wang, F., Lai, X. y Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision Support Systems, 51(2), 262-269. Roussat, N., Dujet, C. y Mehu, J. (2009). Choosing a sustainable demolition waste management strategy using multicriteria decision analysis. Waste Management, 29(1), 12-20. Vlachos, D., Georgiadis, P. y Iakovou, E. (2007). A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains. Computers & Operations Research, 34, 367-394. Vego, G., Kucar-Dragicevic, S. y Koprivanac, N. (2008). Application of multi-criteria decision-making on strategic municipal solid waste management in Dalmatia, Croatia. Waste Management, 28(11), 2192-2201 Ulukan, H.Z. y Kop, Y. (2009). Multi-criteria decision making (MCDM) of solid waste collection methods using life cycle assessment (LCA) outputs. In Computers & Industrial Engineering, 2009. CIE 2009. pp. 584-589. Thiell, M., Soto, J.P., Madiedo, J.P. y van Hoof, B. (2011). Green Logistics: Global Practices and their Implementation in Emerging Markets. Green Finance and Sustainability. Business Science Reference, 334-357. Talbot, S., Lefebvre, É. y Lefebvre, L. (2007). Closed-loop supply chain activities and derived benefits in manufacturing SMEs. Journal of Manufacturing Technology Management, 18(6), 627-658. Tako, A. y Robinson, S. (2012). The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems, 52(4), 802-815. Su, J.P., Chiueh, P.T., Hung, M.L. y Ma, H.W. (2007). Analyzing policy impact potential for municipal solid waste management decision-making: A case study of Taiwan. Resources, Conservation and Recycling, 51(2), 418-434. Stindt, D. y Sahamie, R. (2014). Review of research on closed loop supply chain management in the process industry. Flexible Services and Manufacturing Journal, 26(1-2), 268-293. Spengler, T. y Schröter, M. (2003). Special Section: Closed-Loop Supply Chains: Practice and Potential: Strategic Management of Spare Parts in Closed-Loop Supply Chains - A System Dynamics Approach. Interfaces, 33, 7-17. Souza, G.C. (2013). Closed Loop Supply Chains: A Critical Review, and Future Research. Decision Sciences, 44(1), 7-38. Soma, M., Kondoh, S. y Umeda, Y (2003). Simulation of closed-loop manufacturing systems focused on material balances in Environmentally Conscious Design and Inverse Manufacturing. EcoDesign '03. pp. 95-101. Shi, Y., Wang, J. y Xiao, S. (2010). Research on reverse logistics network design for television remanufacturing based on operation research method and simulation. Paper presented at the 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management. Shapiro, J.F. (2007). Modeling the supply chain. Vol. 2. Cengage Learning. Senthil, S., Srirangacharyulu, B. y Ramesh, A. (2012). A decision making methodology for the selection of reverse logistics operating channels. Procedia Engineering, 38, 418-428. Gomes-Salema, M.I., Barbosa-Povoa, A.P. y Novais, A.Q. (2007). An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty. European Journal of Operational Research, 179(3), 1063-1077. Garfi, M., Tondelli, S. y Bonoli, A. (2009). Multi-criteria decision analysis for waste management in Saharawi refugee camps. Waste management, 29(10), 2729-2739. Fröhling, M., Schwaderer, F., Bartusch, H. y Rentz, O. Integrated planning of transportation and recycling for multiple plants based on process simulation. European Journal of Operational Research, 207, 958-970. Achillas, C., Vlachokostas, C., Aidonis, D., Moussiopoulos, Iakovou, E. y Banias, G. (2010). Optimising reverse logistics network to support policy-making in the case of Electrical and Electronic Equipment. Waste Management, 30(12), 2592-2600. Besiou, M., Georgiadis, P. y Van Wassenhove, L. N. (2012). Official recycling and scavengers: Symbiotic or conflicting? European Journal of Operational Research, 218(2), 563-576. Chen, C.T., Lin, C.T. y Huang, S.F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics, 102(2), 289-301. Contreras, F., Hanaki, K., Aramaki, T. y Connors, S. (2008). Application of analytical hierarchy process to analyze stakeholders preferences for municipal solid waste management plans, Boston, USA. Resources, Conservation and Recycling, 52(7), 979-991. Dale, R., Melamed, B. y Lembke, R. (2012). Modeling and Analysis of Reverse Logistics. Journal of Business Logistics, 33(2), 107-117. Casas, J.J. y Cerón, K. (2013). Método cuantitativo para la configuración de la cadena de logística inversa de un tipo de residuo de aparato eléctrico o electrónico. Trabajo de grado, Ingeniería Industrial, Universidad del Valle. Cali. Bollinger, D. y Pictet, J. (2008). Multiple criteria decision analysis of treatment and land- filling technologies for waste incineration residues. Omega, 36(3), 418-428. Biehl, M., Prater, E. y Realff, M.J. (2007). Assessing performance and uncertainty in developing carpet reverse logistics systems. Computers & Operations Research, 34(2), 443-463. De Brito, M.P. y van der Laan, E. A. (2010). Supply Chain Management and Sustainability: Procrastinating Integration in Mainstream Research. Sustainability, 2(4), 859-870. Demirel, N.Ö. y Gökçen, H. (2008). A mixed integer programming model for remanufacturing in reverse logistics environment. The International Journal of Advanced Manufacturing Technology, 39(11-12), 1197-1206. Dhouib, D. y Elloumi, S. (2011). A new multi-criteria approach dealing with dependent and heterogeneous criteria for end-of-life product strategy. Applied Mathematics and Computation, 218(5), 1668-1681. Ekmekçioglu, M., Kaya, T. y Kahraman, C. (2010). Fuzzy multicriteria disposal method and site selection for municipal solid waste. Waste Management, 30(8), 1729 -1736. Barker, T.J. y Zabinsky, Z.B. (2011). A multicriteria decision making model for reverse logistics using analytical hierarchy process. Omega, 39(5), 558-573. Banar, M., Özkan, A. y Kulaç, A. (2010). Choosing a recycling system using ANP and ELECTRE III techniques. Turkish J Eng Env Sci, 34, 145-154. Aragonés-Beltrán, P., Pastor-Ferrando, J. P., García-García, F. y Pascual-Agulló, A. (2010). An analytic network process approach for siting a municipal solid waste plant in the metropolitan area of Valencia (Spain). Journal of Environmental Management, 91(5), 1071-1086. Escorsa, P. y Maspons, R. (2001). De la vigilancia tecnológica a las inteligencia competitiva. Madrid: Ed. Financial Times - Prentice Hall (Grupo Pearson). Ferguson, M.E. y Souza, G.C. (2010). Closed-loop supply chains: new developments to improve the sustainability of business practices. CRC Press. Amin, S.H. y Zhang, G. (2013). A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Applied Mathematical Modelling, 37(6), 4165-4176. Figueira, J., Greco, S. y Ehrgott, M. (2005). Multiple criteria decision analysis: state of the art surveys. Vol. 78. Springer. ________. (2012b). A proposed mathematical model for closed-loop network configuration based on product life cycle, The International Journal of Advanced Manufacturing Technology, 58, 791-801. Amin, S.H. y Zhang, G. (2012a). An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach. Expert Systems with Applications, 39(8), 6782-6791. Achillas, C., Moussiopoulos, N., Karagiannidis, A., Banias, G. y Perkoulidis, G. (2013). The use of multi-criteria decision analysis to tackle waste management problems: a literature review. Waste Management & Research, 31(2), 115-129. Fleischmann, M., Krikke, H.R., Dekker, R. y Flapper, S.D.P. (2000). A characterisation of logistics networks for product recovery. Omega, 28(6), 653-666. Chang, N.B., Parvathinathan, G. y Breeden, J.B. (2008). Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. Journal of environmental management, 87(1), 139-153 |
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