DOI: 10.17151/10.17151/luaz.2015.41.2
How to Cite
Peña Montoya, C. C., Osorio Gómez, J. C., Vidal Holguín, C. J., Torres Lozada, P., & Marmolejo Rebellón, L. F. (2015). Solid waste management in closed-loop supply chains from the perspective of operations research. Luna Azul, (41), 5–28. https://doi.org/10.17151/10.17151/luaz.2015.41.2

Authors

Claudia Cecilia Peña Montoya
Universidad del Valle
claudia.pena@correounivalle.edu.co
Juan Carlos Osorio Gómez
Universidad del Valle
juan.osorio@correounivalle.edu.co
Carlos Julio Vidal Holguín
Universidad del Valle
carlos.vidal@correounivalle.edu.co
Patricia Torres Lozada
Universidad del Valle
patricia.torres@correounivalle.edu.co
Luis Fernando Marmolejo Rebellón
Universidad del Valle
luis.marmolejo@correounivalle.edu.co

Abstract

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.

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.

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.

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.

________. (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. (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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

Figueira, J., Greco, S. y Ehrgott, M. (2005). Multiple criteria decision analysis: state of the art surveys. Vol. 78. Springer.

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.

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.

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.

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.

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.

________. (2010). Simultaneous design and planning of supply chains with reverse flows: A generic modelling framework. European journal of operational research, 203(2), 336-349.

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.

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.

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.

Jianghong, M. (2010). An Integrated Supply Chain Modeling and Simulation Based on System Dynamics. Paper presented at the Management and Service Science (MASS).

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.

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.

Kaya, I. (2012). Evaluation of outsourcing alternatives under fuzzy environment for waste management. Resources, Conservation and Recycling, 60, 107-118.

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.

Khan, S. y Faisal, M.N. (2008). An analytic network process model for municipal solid waste disposal options. Waste management, 28(9), 1500-1508.

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.

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.

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.

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).

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.

Ministerio de Vivienda, Ciudad y Territorio. (2013). Decreto 2981 “Por el cual se reglamenta la prestación del servicio de aseo”. República de Colombia.

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.

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.

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.

Önüt, S. y Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9), 1552-1559.

Özkir, V. y Basligil, H. (2013). Multi-objective optimization of closed-loop supply chains in uncertain environment. Journal of Cleaner Production, 41, 114-125.

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.

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., 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.

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.

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.

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.

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.

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.

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.

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).

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.

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.

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.

Shapiro, J.F. (2007). Modeling the supply chain. Vol. 2. Cengage Learning.

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.

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.

Souza, G.C. (2013). Closed Loop Supply Chains: A Critical Review, and Future Research. Decision Sciences, 44(1), 7-38.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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).

Yeomans, J.S. (2007). Solid waste planning under uncertainty using evolutionary simulation-optimization. Socio-Economic Planning Sciences, 41(1), 38-60.

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.

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.

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.

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