Mostrar el registro sencillo del ítem

dc.contributor.authorPeña Montoya, Claudia Ceciliaspa
dc.contributor.authorOsorio Gómez, Juan Carlosspa
dc.contributor.authorVidal Holguín, Carlos Juliospa
dc.contributor.authorTorres Lozada, Patriciaspa
dc.contributor.authorMarmolejo Rebellón, Luis Fernandospa
dc.date.accessioned2015-12-13 00:00:00
dc.date.accessioned2021-02-14T10:18:05Z
dc.date.available2015-12-13 00:00:00
dc.date.available2021-02-14T10:18:05Z
dc.date.issued2015-12-13
dc.identifier.urihttps://doi.org/10.17151/luaz.2015.41.2
dc.identifier.urihttps://repositorio.ucaldas.edu.co/handle/ucaldas/16165
dc.description.abstractLa 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.spa
dc.description.abstractThe 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.eng
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.publisherUniversidad de Caldasspa
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/spa
dc.sourcehttps://revistasojs.ucaldas.edu.co/index.php/lunazul/article/view/1251spa
dc.subjectSupply chaineng
dc.subjectclosed loopeng
dc.subjectmulticriteria analysiseng
dc.subjectoptimizationeng
dc.subjectsolid wasteeng
dc.subjectsimulationeng
dc.subjectCadena de suministrospa
dc.subjectciclo cerradospa
dc.subjectanálisis multicriteriospa
dc.subjectoptimizaciónspa
dc.subjectresiduos sólidosspa
dc.subjectsimulaciónspa
dc.titleGestión de residuos sólidos en cadenas de suministro de ciclo cerrado desde la perspectiva de la investigación de operacionesspa
dc.typeArtículo de revistaspa
dc.typeSección Investigación originalspa
dc.typeJournal Articleeng
dc.identifier.doi10.17151/luaz.2015.41.2
dc.identifier.eissn1909-2474
dc.relation.citationendpage28
dc.relation.citationissue41spa
dc.relation.citationstartpage5
dc.relation.ispartofjournalRevista Luna Azul (On Line)spa
dc.relation.referencesAchillas, 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.spa
dc.relation.referencesAchillas, 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.spa
dc.relation.referencesAmin, 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.spa
dc.relation.references________. (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.spa
dc.relation.referencesAmin, 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.spa
dc.relation.referencesAragonés-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.spa
dc.relation.referencesBanar, 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.spa
dc.relation.referencesBarker, T.J. y Zabinsky, Z.B. (2011). A multicriteria decision making model for reverse logistics using analytical hierarchy process. Omega, 39(5), 558-573.spa
dc.relation.referencesBesiou, 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.spa
dc.relation.referencesBiehl, 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.spa
dc.relation.referencesBollinger, D. y Pictet, J. (2008). Multiple criteria decision analysis of treatment and land- filling technologies for waste incineration residues. Omega, 36(3), 418-428.spa
dc.relation.referencesCasas, 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.spa
dc.relation.referencesChang, 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), 139-153spa
dc.relation.referencesChen, 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.spa
dc.relation.referencesContreras, 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.spa
dc.relation.referencesDale, R., Melamed, B. y Lembke, R. (2012). Modeling and Analysis of Reverse Logistics. Journal of Business Logistics, 33(2), 107-117.spa
dc.relation.referencesDe 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.spa
dc.relation.referencesDemirel, 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.spa
dc.relation.referencesDhouib, 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.spa
dc.relation.referencesEkmekçioglu, M., Kaya, T. y Kahraman, C. (2010). Fuzzy multicriteria disposal method and site selection for municipal solid waste. Waste Management, 30(8), 1729 -1736.spa
dc.relation.referencesEscorsa, P. y Maspons, R. (2001). De la vigilancia tecnológica a las inteligencia competitiva. Madrid: Ed. Financial Times - Prentice Hall (Grupo Pearson).spa
dc.relation.referencesFerguson, M.E. y Souza, G.C. (2010). Closed-loop supply chains: new developments to improve the sustainability of business practices. CRC Press.spa
dc.relation.referencesFigueira, J., Greco, S. y Ehrgott, M. (2005). Multiple criteria decision analysis: state of the art surveys. Vol. 78. Springer.spa
dc.relation.referencesFleischmann, 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.spa
dc.relation.referencesFröhling, 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.spa
dc.relation.referencesGarfi, M., Tondelli, S. y Bonoli, A. (2009). Multi-criteria decision analysis for waste management in Saharawi refugee camps. Waste management, 29(10), 2729-2739.spa
dc.relation.referencesGeorgiadis, 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.spa
dc.relation.referencesGomes-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.spa
dc.relation.references________. (2010). Simultaneous design and planning of supply chains with reverse flows: A generic modelling framework. European journal of operational research, 203(2), 336-349.spa
dc.relation.referencesGranada-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.spa
dc.relation.referencesHerva, M., y Roca, E. (2013). Ranking municipal solid waste treatment alternatives based on ecological footprint and multi-criteria analysis. Ecological Indicators, 25, 77-84.spa
dc.relation.referencesHung, 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.spa
dc.relation.referencesJianghong, M. (2010). An Integrated Supply Chain Modeling and Simulation Based on System Dynamics. Paper presented at the Management and Service Science (MASS).spa
dc.relation.referencesKannan, 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.spa
dc.relation.referencesKarmperis, 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.spa
dc.relation.referencesKaya, I. (2012). Evaluation of outsourcing alternatives under fuzzy environment for waste management. Resources, Conservation and Recycling, 60, 107-118.spa
dc.relation.referencesKhadivi, 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.spa
dc.relation.referencesKhan, S. y Faisal, M.N. (2008). An analytic network process model for municipal solid waste disposal options. Waste management, 28(9), 1500-1508.spa
dc.relation.referencesLee, 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.spa
dc.relation.referencesLiamsanguan, 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.spa
dc.relation.referencesLiao, C.H. y Chiu, A.S. (2011). Evaluate municipal solid waste management problems using hierarchical framework. Procedia-Social and Behavioral Sciences, 25, 353-362.spa
dc.relation.referencesLu, 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).spa
dc.relation.referencesMergias, 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.spa
dc.relation.referencesMinisterio de Vivienda, Ciudad y Territorio. (2013). Decreto 2981 “Por el cual se reglamenta la prestación del servicio de aseo”. República de Colombia.spa
dc.relation.referencesMitra, S. (2012). Inventory management in a two-echelon closed-loop supply chain with correlated demands and returns. Computers & Industrial Engineering, 62(4), 870-879.spa
dc.relation.referencesNas, 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.spa
dc.relation.referencesOlugu, 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.spa
dc.relation.referencesÖnüt, S. y Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9), 1552-1559.spa
dc.relation.referencesÖzkir, V. y Basligil, H. (2013). Multi-objective optimization of closed-loop supply chains in uncertain environment. Journal of Cleaner Production, 41, 114-125.spa
dc.relation.referencesPaksoy, 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.spa
dc.relation.referencesPaksoy, 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.spa
dc.relation.referencesPaksoy, 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.spa
dc.relation.referencesPeña 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.spa
dc.relation.referencesPires, 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.spa
dc.relation.referencesPishvaee, 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.spa
dc.relation.referencesPishvaee, 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.spa
dc.relation.referencesQueiruga, 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.spa
dc.relation.referencesRamezani, 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.spa
dc.relation.referencesRogers, 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).spa
dc.relation.referencesRousis, 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.spa
dc.relation.referencesRoussat, N., Dujet, C. y Mehu, J. (2009). Choosing a sustainable demolition waste management strategy using multicriteria decision analysis. Waste Management, 29(1), 12-20.spa
dc.relation.referencesSenthil, S., Srirangacharyulu, B. y Ramesh, A. (2012). A decision making methodology for the selection of reverse logistics operating channels. Procedia Engineering, 38, 418-428.spa
dc.relation.referencesShapiro, J.F. (2007). Modeling the supply chain. Vol. 2. Cengage Learning.spa
dc.relation.referencesShi, 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.spa
dc.relation.referencesSoma, 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.spa
dc.relation.referencesSouza, G.C. (2013). Closed Loop Supply Chains: A Critical Review, and Future Research. Decision Sciences, 44(1), 7-38.spa
dc.relation.referencesSpengler, 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.spa
dc.relation.referencesStindt, 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.spa
dc.relation.referencesSu, 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.spa
dc.relation.referencesTako, 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.spa
dc.relation.referencesTalbot, 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.spa
dc.relation.referencesThiell, 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.spa
dc.relation.referencesUlukan, 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.spa
dc.relation.referencesVego, 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), 2192-2201spa
dc.relation.referencesVlachos, 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.spa
dc.relation.referencesWang, F., Lai, X. y Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision Support Systems, 51(2), 262-269.spa
dc.relation.referencesWang, 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.spa
dc.relation.referencesXi, 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.spa
dc.relation.referencesXianfeng, 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).spa
dc.relation.referencesYeomans, J.S. (2007). Solid waste planning under uncertainty using evolutionary simulation-optimization. Socio-Economic Planning Sciences, 41(1), 38-60.spa
dc.relation.referencesZeballos, 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.spa
dc.relation.referencesZhang, 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.spa
dc.relation.referencesZhou, Y. y Wang, S. (2008). Generic model of reverse logistics network design. Journal of Transportation Systems Engineering and Information Technology, 8(3), 71-78.spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.title.translatedSolid waste management in closed-loop supply chains from the perspective of operations researcheng
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
dc.relation.citationeditionNúm. 41 , Año 2015 : Julio - Diciembrespa
dc.relation.bitstreamhttps://revistasojs.ucaldas.edu.co/index.php/lunazul/article/download/1251/1174
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


Ficheros en el ítem

FicherosTamañoFormatoVer
Rev. luna azul (En línea)-1251.pdf741.4Kbapplication/pdfVer/

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

https://creativecommons.org/licenses/by/4.0/
Excepto si se señala otra cosa, la licencia del ítem se describe como https://creativecommons.org/licenses/by/4.0/