How to cite this paper
Sahebi, I., Masoomi, B., Ghorbani, S & Uslu, T. (2019). Scenario-based designing of closed-loop supply chain with uncertainty in returned products.Decision Science Letters , 8(4), 505-518.
Refrences
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Akcali, E., & Cetinkaya, S. (2011). Quantitative models for inventory and production planning in closed-loop supply chains. International Journal of Production Research, 49(8), 2373–2407.
Alamdar, S., Rabbani, M., & Heydari, J. (2019). Optimal decision problem in a three-level closed-loop supply chain with risk-averse players under demand uncertainty. Uncertain Supply Chain Management, 7(2), 351-368.
Amin, S. H., & Baki, F. (2017). A facility location model for global closed-loop supply chain network design. Applied Mathematical Modelling, 41, 316-330.
Amin, S. H., & 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.
Amin, S. H., Zhang, G., & Akhtar, P. (2017). Effects of uncertainty on a tire closed-loop supply chain network. Expert Systems with Applications, 73, 82-91.
Cannella, S., Bruccoleri, M., & Framinan, J. M. (2016). Closed-loop supply chains: What reverse logistics factors influence performance. International Journal of Production Economics, 175, 35-49.
Cardoso, S., Barbosa-Póvoa, A. P. F. D., & Relvas, S. (2013). Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty. European Journal of Operations Research, 226(3), 436–451.
Chen, S. P., & Chang, P. C. (2006). A mathematical programming approach to supply chain models with fuzzy parameters. Engineering Optimization, 38, 647–669.
Darbari, J. D., Kannan, D., Agarwal, V., & Jha, P. C. (2017). Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem. Annals of Operations Research, 1-46.
Denizel, M., Ferguson, M., & Souza, G. (2010). Multiperiod remanufacturing planning with uncertain quality of inputs. IEEE Transactions on Engineering Management, 57(3), 394–404.
Dowlatshahi, S. H. A. D. (2010). A cost-benefit analysis for the design and implementation of reverse logistics systems: case studies approach. International Journal of Production Research, 48(5), 1361-1380.
Ene, S., & Öztürk, N. (2017). Grey modelling-based forecasting system for return flow of end-of-life vehicles. Technological Forecasting and Social Change, 115, 155-166.
Farrokh, M., Azar, A., Jandaghi, G., & Ahmadi, E. (2018). A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty. Fuzzy Sets and Systems, 341, 69-91.
Gaur, J., Amini, M., & Rao, A. K. (2017). Closed-loop supply chain configuration for new and reconditioned products: An integrated optimization model. Omega, 66, 212-223.
Ghassemi, A., Asl-Najafi, J., & Yaghoubi, S. (2018). A dynamic bi-objective closed-loop supply chain network design considering supplier selection and remanufacturer subcontractors. Uncertain Supply Chain Management, 6(2), 117-134.
Govindan, K., & Soleimani, H. (2017). A review of reverse logistics and closed-loop supply chains: A Journal of Cleaner Production focus. Journal of Cleaner Production, 142, 371-384.
Gupta, A., & Maranas, C. D. (2003). Managing demand uncertainty in supply chain planning. Computers and Chemical Engineering, 27(8–9), 1219–1227.
He, Y. (2015). Acquisition pricing and remanufacturing decisions in a closed-loop supply chain. International Journal of Production Economics, 163, 48-60.
Jeihoonian, M., Zanjani, M. K., & Gendreau, M. (2017). Closed-loop supply chain network design under uncertain quality status: Case of durable products. International Journal of Production Economics, 183, 470-486.
Kadambala, D. K., Subramanian, N., Tiwari, M. K., Abdulrahman, M., & Liu, C. (2017). Closed loop supply chain networks: Designs for energy and time value efficiency. International Journal of Production Economics, 183, 382-393.
Klibi, W., Martel, A., & Guitouni, A. (2010). The design of robust value-creating supply chain networks: a critical review. European Journal of Operational Research, 203(2), 283-293.
Lee, D., & Dong, M. (2009). Dynamic network design for reverse logistics operations under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 45(1), 61–71.
Li, Z., & Ierapetritou, M. G. (2008). Process scheduling under uncertainty: Review and challenges. Computers and Chemical Engineering, 32(4–5), 715–727.
Masmoudi, M. (2011). Forecasting returns in reverse logistics: application to catalog and mail-order retailing. In International Conference on Industrial Engineering and Systems Management (Vol. 1, No. 1, pp. 507-516).
Masoudipour, E., Amirian, H., & Sahraeian, R. (2017). A novel closed-loop supply chain based on the quality of returned products. Journal of Cleaner Production, 151, 344-355.
Mohammed, F., Selim, S. Z., Hassan, A., & Syed, M. N. (2017). Multi-period planning of closed-loop supply chain with carbon policies under uncertainty. Transportation Research Part D: Transport and Environment, 51, 146-172.
Özceylan, E., Demirel, N., Çetinkaya, C., & Demirel, E. (2017). A closed-loop supply chain network design for automotive industry in Turkey. Computers & Industrial Engineering, 113, 727-745.
Papageorgiou, L. G. (2009). Supply chain optimization for the process industries: Advances and opportunities. Computers and Chemical Engineering, 33(12),1931–1938.
Pishvaee, M., & Rabbani, M. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35(1), 637–649.
Sahinidis, N. V. (2004). Optimization under uncertainty: State-of-the-art and opportunity. Computers and Chemical Engineering, 28(6–7), 971–983.
Salema, M. I. G., Barbosa-Povoa, A. P., & Novais, A. Q. (2010). Simultaneous design and planning of supply chains with reverse flows: A generic modeling framework. European Journal of Operational Research, 203(2), 336–349.
Salema, M., Barbosa-Póvoa, A., & Novais, A. Q. (2007). An optimization model for the design for a capacitated multi-product reverse logistics networks with uncertainty. European Journal of Operations Research, 179, 1063–1077.
Soleimani, H., Govindan, K., Saghafi, H., & Jafari, H. (2017). Fuzzy multi-objective sustainable and green closed-loop supply chain network design. Computers & Industrial Engineering, 109, 191-203.
Soleimani, H., Kumar, D. T., & Kannan, G. (2014). Forecasting return products in an integrated forward/reverse supply chain utilizing an ANFIS. International Journal of Applied Mathematics and Computer Science, 24(3), 669-682.
Temur, G. and Bolat, B. (2012). Reverse logistics network design integrated with product return forecasting approach, 17th International Working Seminar on Production Economics, Innsbruck, Austria, pp. 483–497.
Vahdani, B., Tavakkoli-Moghaddam, R., Jolai, F., & Baboli, A. (2013). Reliable design of a closed loop supply chain network under uncertainty: An interval fuzzy possibilistic chance-constrained model. Engineering Optimization, 45(6), 745–765.
Zeballos, L. J., Méndez, C. A., & Barbosa-Povoa, A. P. (2018). Integrating decisions of product and closed-loop supply chain design under uncertain return flows. Computers & Chemical Engineering, 112, 211-238.
Akcali, E., & Cetinkaya, S. (2011). Quantitative models for inventory and production planning in closed-loop supply chains. International Journal of Production Research, 49(8), 2373–2407.
Alamdar, S., Rabbani, M., & Heydari, J. (2019). Optimal decision problem in a three-level closed-loop supply chain with risk-averse players under demand uncertainty. Uncertain Supply Chain Management, 7(2), 351-368.
Amin, S. H., & Baki, F. (2017). A facility location model for global closed-loop supply chain network design. Applied Mathematical Modelling, 41, 316-330.
Amin, S. H., & 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.
Amin, S. H., Zhang, G., & Akhtar, P. (2017). Effects of uncertainty on a tire closed-loop supply chain network. Expert Systems with Applications, 73, 82-91.
Cannella, S., Bruccoleri, M., & Framinan, J. M. (2016). Closed-loop supply chains: What reverse logistics factors influence performance. International Journal of Production Economics, 175, 35-49.
Cardoso, S., Barbosa-Póvoa, A. P. F. D., & Relvas, S. (2013). Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty. European Journal of Operations Research, 226(3), 436–451.
Chen, S. P., & Chang, P. C. (2006). A mathematical programming approach to supply chain models with fuzzy parameters. Engineering Optimization, 38, 647–669.
Darbari, J. D., Kannan, D., Agarwal, V., & Jha, P. C. (2017). Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem. Annals of Operations Research, 1-46.
Denizel, M., Ferguson, M., & Souza, G. (2010). Multiperiod remanufacturing planning with uncertain quality of inputs. IEEE Transactions on Engineering Management, 57(3), 394–404.
Dowlatshahi, S. H. A. D. (2010). A cost-benefit analysis for the design and implementation of reverse logistics systems: case studies approach. International Journal of Production Research, 48(5), 1361-1380.
Ene, S., & Öztürk, N. (2017). Grey modelling-based forecasting system for return flow of end-of-life vehicles. Technological Forecasting and Social Change, 115, 155-166.
Farrokh, M., Azar, A., Jandaghi, G., & Ahmadi, E. (2018). A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty. Fuzzy Sets and Systems, 341, 69-91.
Gaur, J., Amini, M., & Rao, A. K. (2017). Closed-loop supply chain configuration for new and reconditioned products: An integrated optimization model. Omega, 66, 212-223.
Ghassemi, A., Asl-Najafi, J., & Yaghoubi, S. (2018). A dynamic bi-objective closed-loop supply chain network design considering supplier selection and remanufacturer subcontractors. Uncertain Supply Chain Management, 6(2), 117-134.
Govindan, K., & Soleimani, H. (2017). A review of reverse logistics and closed-loop supply chains: A Journal of Cleaner Production focus. Journal of Cleaner Production, 142, 371-384.
Gupta, A., & Maranas, C. D. (2003). Managing demand uncertainty in supply chain planning. Computers and Chemical Engineering, 27(8–9), 1219–1227.
He, Y. (2015). Acquisition pricing and remanufacturing decisions in a closed-loop supply chain. International Journal of Production Economics, 163, 48-60.
Jeihoonian, M., Zanjani, M. K., & Gendreau, M. (2017). Closed-loop supply chain network design under uncertain quality status: Case of durable products. International Journal of Production Economics, 183, 470-486.
Kadambala, D. K., Subramanian, N., Tiwari, M. K., Abdulrahman, M., & Liu, C. (2017). Closed loop supply chain networks: Designs for energy and time value efficiency. International Journal of Production Economics, 183, 382-393.
Klibi, W., Martel, A., & Guitouni, A. (2010). The design of robust value-creating supply chain networks: a critical review. European Journal of Operational Research, 203(2), 283-293.
Lee, D., & Dong, M. (2009). Dynamic network design for reverse logistics operations under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 45(1), 61–71.
Li, Z., & Ierapetritou, M. G. (2008). Process scheduling under uncertainty: Review and challenges. Computers and Chemical Engineering, 32(4–5), 715–727.
Masmoudi, M. (2011). Forecasting returns in reverse logistics: application to catalog and mail-order retailing. In International Conference on Industrial Engineering and Systems Management (Vol. 1, No. 1, pp. 507-516).
Masoudipour, E., Amirian, H., & Sahraeian, R. (2017). A novel closed-loop supply chain based on the quality of returned products. Journal of Cleaner Production, 151, 344-355.
Mohammed, F., Selim, S. Z., Hassan, A., & Syed, M. N. (2017). Multi-period planning of closed-loop supply chain with carbon policies under uncertainty. Transportation Research Part D: Transport and Environment, 51, 146-172.
Özceylan, E., Demirel, N., Çetinkaya, C., & Demirel, E. (2017). A closed-loop supply chain network design for automotive industry in Turkey. Computers & Industrial Engineering, 113, 727-745.
Papageorgiou, L. G. (2009). Supply chain optimization for the process industries: Advances and opportunities. Computers and Chemical Engineering, 33(12),1931–1938.
Pishvaee, M., & Rabbani, M. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35(1), 637–649.
Sahinidis, N. V. (2004). Optimization under uncertainty: State-of-the-art and opportunity. Computers and Chemical Engineering, 28(6–7), 971–983.
Salema, M. I. G., Barbosa-Povoa, A. P., & Novais, A. Q. (2010). Simultaneous design and planning of supply chains with reverse flows: A generic modeling framework. European Journal of Operational Research, 203(2), 336–349.
Salema, M., Barbosa-Póvoa, A., & Novais, A. Q. (2007). An optimization model for the design for a capacitated multi-product reverse logistics networks with uncertainty. European Journal of Operations Research, 179, 1063–1077.
Soleimani, H., Govindan, K., Saghafi, H., & Jafari, H. (2017). Fuzzy multi-objective sustainable and green closed-loop supply chain network design. Computers & Industrial Engineering, 109, 191-203.
Soleimani, H., Kumar, D. T., & Kannan, G. (2014). Forecasting return products in an integrated forward/reverse supply chain utilizing an ANFIS. International Journal of Applied Mathematics and Computer Science, 24(3), 669-682.
Temur, G. and Bolat, B. (2012). Reverse logistics network design integrated with product return forecasting approach, 17th International Working Seminar on Production Economics, Innsbruck, Austria, pp. 483–497.
Vahdani, B., Tavakkoli-Moghaddam, R., Jolai, F., & Baboli, A. (2013). Reliable design of a closed loop supply chain network under uncertainty: An interval fuzzy possibilistic chance-constrained model. Engineering Optimization, 45(6), 745–765.
Zeballos, L. J., Méndez, C. A., & Barbosa-Povoa, A. P. (2018). Integrating decisions of product and closed-loop supply chain design under uncertain return flows. Computers & Chemical Engineering, 112, 211-238.