How to cite this paper
Gooran, A., Rafiei, H & Rabani, M. (2018). Modeling risk and uncertainty in designing reverse logistics problem.Decision Science Letters , 7(1), 13-24.
Refrences
Alumur, S. A., Nickel, S., Saldanha-da-Gama, F., & Verter, V. (2012). Multi-period reverse logistics network design. European Journal of Operational Research, 220(1), 67-78.
Ayvaz, B., Bolat, B., & Aydın, N. (2015). Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resources, Conservation and Recycling, 104, 391-404.
Babazadeh, R., Jolai, F., & Razmi, J. (2015). Developing scenario–based robust optimisation approaches for the reverse logistics network design problem under uncertain environments. International Journal of Services and Operations Management, 20(4), 418-440.
Beamon, B. M. (1999). Designing the green supply chain. Logistics information management, 12(4), 332-342.
Benedito, E., & Corominas, A. (2013). Optimal manufacturing policy in a reverse logistic system with dependent stochastic returns and limited capacities. International Journal of Production Research, 51(1), 189-201.
Charnes, A., & Cooper, W. W. (1959). Chance-constrained programming. Management science, 6(1), 73-79.
Dai, Z., & Zheng, X. (2015). Design of close-loop supply chain network under uncertainty using hybrid genetic algorithm: A fuzzy and chance-constrained programming model. Computers & Industrial Engineering, 88, 444-457.
Diabat, A., Kannan, D., Kaliyan, M., & Svetinovic, D. (2013). An optimization model for product returns using genetic algorithms and artificial immune system. Resources, Conservation and Recycling, 74, 156-169.
Ene, S., & Öztürk, N. (2014). Open loop reverse supply chain network design. Procedia-Social and Behavioral Sciences, 109, 1110-1115.
Fleischmann, M., Krikke, H. R., Dekker, R., & Flapper, S. D. P. (2000). A characterisation of logistics networks for product recovery. Omega, 28(6), 653-666.
Govindan, K., Paam, P., & Abtahi, A. R. (2016). A fuzzy multi-objective optimization model for sustainable reverse logistics network design. Ecological Indicators, 67, 753-768.
Govindan, K., Soleimani, H., & Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. European Journal of Operational Research, 240(3), 603-626.
Jindal, A., Sangwan, K. S., & Saxena, S. (2015). Network design and optimization for multi-product, multi-time, multi-echelon closed-loop supply chain under uncertainty. Procedia CIRP, 29, 656-661.
Kamjoo, A., Maheri, A., Dizqah, A. M., & Putrus, G. A. (2016). Multi-objective design under uncertainties of hybrid renewable energy system using NSGA-II and chance constrained programming. International Journal of Electrical Power & Energy Systems, 74, 187-194.
Kannan, G., Sasikumar, P., & 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.
Kara, S. S., & Onut, S. (2010). A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network: The case of paper recycling. Expert Systems with Applications, 37(9), 6129-6137.
Khatami, M., Mahootchi, M., & Farahani, R. Z. (2015). Benders’ decomposition for concurrent redesign of forward and closed-loop supply chain network with demand and return uncertainties. Transportation Research Part E: Logistics and Transportation Review, 79, 1-21.
Lee, D. H., & Dong, M. (2009). Dynamic network design for reverse logistics operations under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 45(1), 61-71.
Lieckens, K., & Vandaele, N. (2007). Reverse logistics network design with stochastic lead times. Computers & Operations Research, 34(2), 395-416.
Min, H., Ko, H. J., & Ko, C. S. (2006). A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns. Omega, 34(1), 56-69.
Mitra, K., Gudi, R. D., Patwardhan, S. C., & Sardar, G. (2008). Supply Chain Planning under Uncertainty: A Chance Constrained Programming Approach. IFAC Proceedings Volumes, 41(2), 10570-10575.
Nikolaou, I. E., Evangelinos, K. I., & Allan, S. (2013). A reverse logistics social responsibility evaluation framework based on the triple bottom line approach. Journal of Cleaner Production, 56, 173-184.
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(2), 637-649.
Pokharel, S., & Mutha, A. (2009). Perspectives in reverse logistics: a review. Resources, Conservation and Recycling, 53(4), 175-182.
Roghanian, E., & Pazhoheshfar, P. (2014). An optimization model for reverse logistics network under stochastic environment by using genetic algorithm. Journal of Manufacturing Systems, 33(3), 348-356.
Salema, M. I. G., Barbosa-Povoa, A. P., & 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.
Soleimani, H., & Govindan, K. (2014). Reverse logistics network design and planning utilizing conditional value at risk. European Journal of Operational Research, 237(2), 487-497.
Soleimani, H., & Kannan, G. (2015). A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks. Applied Mathematical Modelling, 39(14), 3990-4012.
Tonanont, A., Yimsiri, S., Jitpitaklert, W., & Rogers, K. J. (2008, January). Performance evaluation in reverse logistics with data envelopment analysis. In IIE Annual Conference. Proceedings (p. 764). Institute of Industrial Engineers-Publisher.
Tuzkaya, G., Gülsün, B., & Önsel, Ş. (2011). A methodology for the strategic design of reverse logistics networks and its application in the Turkish white goods industry. International Journal of Production Research, 49(15), 4543-4571.
Vahdani, B., & Mohammadi, M. (2015). A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system. International Journal of Production Economics, 170, 67-87.
Ayvaz, B., Bolat, B., & Aydın, N. (2015). Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resources, Conservation and Recycling, 104, 391-404.
Babazadeh, R., Jolai, F., & Razmi, J. (2015). Developing scenario–based robust optimisation approaches for the reverse logistics network design problem under uncertain environments. International Journal of Services and Operations Management, 20(4), 418-440.
Beamon, B. M. (1999). Designing the green supply chain. Logistics information management, 12(4), 332-342.
Benedito, E., & Corominas, A. (2013). Optimal manufacturing policy in a reverse logistic system with dependent stochastic returns and limited capacities. International Journal of Production Research, 51(1), 189-201.
Charnes, A., & Cooper, W. W. (1959). Chance-constrained programming. Management science, 6(1), 73-79.
Dai, Z., & Zheng, X. (2015). Design of close-loop supply chain network under uncertainty using hybrid genetic algorithm: A fuzzy and chance-constrained programming model. Computers & Industrial Engineering, 88, 444-457.
Diabat, A., Kannan, D., Kaliyan, M., & Svetinovic, D. (2013). An optimization model for product returns using genetic algorithms and artificial immune system. Resources, Conservation and Recycling, 74, 156-169.
Ene, S., & Öztürk, N. (2014). Open loop reverse supply chain network design. Procedia-Social and Behavioral Sciences, 109, 1110-1115.
Fleischmann, M., Krikke, H. R., Dekker, R., & Flapper, S. D. P. (2000). A characterisation of logistics networks for product recovery. Omega, 28(6), 653-666.
Govindan, K., Paam, P., & Abtahi, A. R. (2016). A fuzzy multi-objective optimization model for sustainable reverse logistics network design. Ecological Indicators, 67, 753-768.
Govindan, K., Soleimani, H., & Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. European Journal of Operational Research, 240(3), 603-626.
Jindal, A., Sangwan, K. S., & Saxena, S. (2015). Network design and optimization for multi-product, multi-time, multi-echelon closed-loop supply chain under uncertainty. Procedia CIRP, 29, 656-661.
Kamjoo, A., Maheri, A., Dizqah, A. M., & Putrus, G. A. (2016). Multi-objective design under uncertainties of hybrid renewable energy system using NSGA-II and chance constrained programming. International Journal of Electrical Power & Energy Systems, 74, 187-194.
Kannan, G., Sasikumar, P., & 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.
Kara, S. S., & Onut, S. (2010). A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network: The case of paper recycling. Expert Systems with Applications, 37(9), 6129-6137.
Khatami, M., Mahootchi, M., & Farahani, R. Z. (2015). Benders’ decomposition for concurrent redesign of forward and closed-loop supply chain network with demand and return uncertainties. Transportation Research Part E: Logistics and Transportation Review, 79, 1-21.
Lee, D. H., & Dong, M. (2009). Dynamic network design for reverse logistics operations under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 45(1), 61-71.
Lieckens, K., & Vandaele, N. (2007). Reverse logistics network design with stochastic lead times. Computers & Operations Research, 34(2), 395-416.
Min, H., Ko, H. J., & Ko, C. S. (2006). A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns. Omega, 34(1), 56-69.
Mitra, K., Gudi, R. D., Patwardhan, S. C., & Sardar, G. (2008). Supply Chain Planning under Uncertainty: A Chance Constrained Programming Approach. IFAC Proceedings Volumes, 41(2), 10570-10575.
Nikolaou, I. E., Evangelinos, K. I., & Allan, S. (2013). A reverse logistics social responsibility evaluation framework based on the triple bottom line approach. Journal of Cleaner Production, 56, 173-184.
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(2), 637-649.
Pokharel, S., & Mutha, A. (2009). Perspectives in reverse logistics: a review. Resources, Conservation and Recycling, 53(4), 175-182.
Roghanian, E., & Pazhoheshfar, P. (2014). An optimization model for reverse logistics network under stochastic environment by using genetic algorithm. Journal of Manufacturing Systems, 33(3), 348-356.
Salema, M. I. G., Barbosa-Povoa, A. P., & 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.
Soleimani, H., & Govindan, K. (2014). Reverse logistics network design and planning utilizing conditional value at risk. European Journal of Operational Research, 237(2), 487-497.
Soleimani, H., & Kannan, G. (2015). A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks. Applied Mathematical Modelling, 39(14), 3990-4012.
Tonanont, A., Yimsiri, S., Jitpitaklert, W., & Rogers, K. J. (2008, January). Performance evaluation in reverse logistics with data envelopment analysis. In IIE Annual Conference. Proceedings (p. 764). Institute of Industrial Engineers-Publisher.
Tuzkaya, G., Gülsün, B., & Önsel, Ş. (2011). A methodology for the strategic design of reverse logistics networks and its application in the Turkish white goods industry. International Journal of Production Research, 49(15), 4543-4571.
Vahdani, B., & Mohammadi, M. (2015). A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system. International Journal of Production Economics, 170, 67-87.