How to cite this paper
Saffar, M., G., H & Razmi, J. (2015). A new multi objective optimization model for designing a green supply chain network under uncertainty.International Journal of Industrial Engineering Computations , 6(1), 15-32.
Refrences
Ambrosino, D., & Scutella, M. G. (2005). Distribution Network Design: New Problems and Related Models. European Journal of Operational Research, 165(3), 610-624.
Baghalian, A., Rezapour, S., & Zanjirani Farahani, R. (2013). Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. European Journal of Operational Research, 227(1), 199-215.
Barros, A. I., Dekker, R., & Scholten, V. (1998). A two-level network for recycling sand: a case study. European Journal of Operational Research, 110(2), 199-214.
Drezner, Z., & Wesolowsky, G. O. (2003). Network design: selection and design of links and facility location. Transportation Research, 37(3), 241-256.
Du, F., & Evans, G. W. (2008). A bi-objective reverse logistics network analysis for post-sale service. Computers & Operations Research, 35(8), 2617–2634.
El-Sayed, M., A?a, N., & El-Kharbotly, A. (2010). A stochastic model for forward_reverse logistics network design under risk. Computers & Industrial Engineering, 58(3), 423–431.
Fleischmann, M., Beullens, P., Bloemhof-ruwaard, J. M., & Wassenhove, L. (2001). The impact of product recovery on logistics network design. Production and Operations Management, 10(2), 156–173.
Fleischmann, M., Bloemhof-Ruwaard, J., Dekker, R., van der Laan, E., van Nunen, J. A. E. E., & van Wassenhove, L. (1997). Quantitative models for reverse logistics: a review. European Journal of Operational Research, 103(1), 1-17.
Hinojosa, Y., Kalcsics, J., Nickel, S., Puerto, J., & Velten, S. (2008). Dynamic supply chain design with inventory. Computers & Operations Research, 35(2), 373-391.
Hugo, A., & Pistikopoulos, E. N. (2005). Environmentally conscious long-range planning and design of supply chain networks. Journal of Cleaner Production, 13(15), 1471–1491.
Hwang, C. L., & Masud, A. (1979). Multiple Objective Decision Making. Methods and Applications: A State of the Art Survey. Lecture Notes in Economics and Mathematical Systems, 164, Springer-Verlag, Berlin.
Ilgin, M. A., Surendra, M., & Gupta, S. M. (2010). Environmentally conscious manufacturing and product recovery (ECMPRO): a review of the state of the art. Journal of Environmental Management, 91(3), 563–591.
Jabal Ameli, M. S., Azad, N., & Rastpour, A. (2009). Designing a Supply Chain Network Model with Uncertain Demand and Lead Times. Journal of Uncertain Systems, 3(2), 123-130.
Jayaraman, V., Guige Jr., V. D. R., & Srivastava, R. (1999). A closed-loop logistics model for manufacturing. The Journal of the Operational Research Society, 50(5), 497–508.
Jayaraman, V., Patterson, R. A., & Rolland, E. (2003). The design of reverse distribution networks: models and solution procedures. European Journal of Operational Research, 150(1), 128–149.
Jiménez, M. (1996). Ranking fuzzy numbers through the comparison of its expected intervals. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 4(4), 379-388.
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.
Ko, H. J., & Evans, G. W. (2007). A genetic-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs. Computers & Operations Research, 34(2), 346–366.
Krikke, H. R., Van Harten, A., & Schuur, P. C. (1999). Reverse logistic network re-design for copiers. OR Spektrum, 21(3), 381–409.
Lee, D., & Dong, M. (2007). A heuristic approach to logistics network design for end-of-lease computer products recovery. Transportation Research Part E: Logistics and Transportation Review, 44(3), 455–474.
Lian, Qi., & Zuo-Jun Max, Sh. (2007). A supply chain design model with unreliable supply. Naval Research Logistics, 54(8), 829-844.
Listes O., & Dekker, R. (2005). A stochastic approach to a case study for product recovery network design. European Journal of Operational Research, 160(1), 268–287.
Lu, Z., & Bostel, N. (2007). A facility location model for logistics systems including reverse flows: the case of remanufacturing activities. Computers & Operations Research, 34(2), 299–323.
Melkote, S., & Daskin, M. S. (2001). Capacitated facility location/network design problem. European Journal of Operation Research, 129(3), 481-495.
Min, H., Ko, C. S., & Ko, H. J. (2006). The spatial and temporal consolidation of returned products in a closed-loop supply chain network. Computers & Industrial Engineering, 51(2), 309–320.
Ozdemir, D., Yucesan, E., & Herer, Y. T. (2006). Multi-location transshipment problem with capacitated transportation. European Journal of Operational Research, 175(1), 602-621.
Pati, R., Vrat, P., & Kumar, P. (2008). A goal programming model for paper recycling system. Omega, 36(3), 405–417.
Pirkul, H., & Jayaraman, V. (1998). A multi-commodity, Multi-Plant, Capacitated Facility Location Problem: Formulation and Efficient Heuristic Solution. Computers and Operational Research, 25(10), 869-878.
Pishvaee, M. S., Farahani, R. Z., & Dullaert, W. (2010). A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Computers & Operations Research, 37(6), 1100–1112.
Pishvaee, M. S., Jolai, F., & 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., & 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., & Razmi, J. (2012). Environmental supply chain network design using multi-objective fuzzy mathematical programming. Applied Mathematical Modelling, 36(8), 3433-3446.
Pishvaee, M. S., & Torabi, S. A. (2010). A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy Sets and Systems, 161(20), 2668-2683.
Qin, Y., & Jin, M. (2009). Optimal Model and Algorithm for Multi-Commodity Logistics Network Design Considering Stochastic Demand and Inventory Control Original Research Article. Systems Engineering-Theory & Practice, 29(4), 176-183.
Quariguasi Frota Neto, J., Bloemhof-Ruwaard, J. M., van Nunen, J. A. E .E., & van Heck, E. (2008). Designing and evaluating sustainable logistics networks. International Journal of Production Economics, 111(2), 195–208.
Quariguasi Frota Neto, J., Walther, G., Bloemhof, J., van Nunen, J. A. E. E., & Spengler, T. (2009). A methodology for assessing eco-ef?ciency in logistics networks. European Journal of Operational Research, 193(3), 670–682.
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.
Sawik, T. (2011). Supplier selection in make-to-order environment with risks. Mathematical and Computer Modelling, 53(9), 1670-1679.
Shaw, K., Shankar, R., Yadav, S. S., & Thakur, L. S. (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems with Applications, 39(9), 8182-8192.
Syam, S. S. (2002). A model and methodologies for the location problem with logistical components. Computers and Operations Research, 29(9), 1173-1193.
Thanh, P. N., Bostel, N., & Peton, O. (2008). A dynamic model for facility location in the design of complex supply chains. International Journal of Production Economics, 113(2), 678-693.
Wang, H. F., & Hsu, H. W. (2010a). Resolution of an uncertain closed-loop logistics model: An application to fuzzy linear programs with risk analysis. Journal of Environmental Management, 91(11), 2148-2162.
Wang, H. F., & Hsu, H. W. (2010b). A closed-loop logistic model with a spanning-tree based genetic algorithm. Computers & Operations Research, 37(2), 376–389.
Yager, R. R. (1981). A procedure for ordering fuzzy subsets of the unit interval. Information Sciences, 24(2), 143-161.
Baghalian, A., Rezapour, S., & Zanjirani Farahani, R. (2013). Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. European Journal of Operational Research, 227(1), 199-215.
Barros, A. I., Dekker, R., & Scholten, V. (1998). A two-level network for recycling sand: a case study. European Journal of Operational Research, 110(2), 199-214.
Drezner, Z., & Wesolowsky, G. O. (2003). Network design: selection and design of links and facility location. Transportation Research, 37(3), 241-256.
Du, F., & Evans, G. W. (2008). A bi-objective reverse logistics network analysis for post-sale service. Computers & Operations Research, 35(8), 2617–2634.
El-Sayed, M., A?a, N., & El-Kharbotly, A. (2010). A stochastic model for forward_reverse logistics network design under risk. Computers & Industrial Engineering, 58(3), 423–431.
Fleischmann, M., Beullens, P., Bloemhof-ruwaard, J. M., & Wassenhove, L. (2001). The impact of product recovery on logistics network design. Production and Operations Management, 10(2), 156–173.
Fleischmann, M., Bloemhof-Ruwaard, J., Dekker, R., van der Laan, E., van Nunen, J. A. E. E., & van Wassenhove, L. (1997). Quantitative models for reverse logistics: a review. European Journal of Operational Research, 103(1), 1-17.
Hinojosa, Y., Kalcsics, J., Nickel, S., Puerto, J., & Velten, S. (2008). Dynamic supply chain design with inventory. Computers & Operations Research, 35(2), 373-391.
Hugo, A., & Pistikopoulos, E. N. (2005). Environmentally conscious long-range planning and design of supply chain networks. Journal of Cleaner Production, 13(15), 1471–1491.
Hwang, C. L., & Masud, A. (1979). Multiple Objective Decision Making. Methods and Applications: A State of the Art Survey. Lecture Notes in Economics and Mathematical Systems, 164, Springer-Verlag, Berlin.
Ilgin, M. A., Surendra, M., & Gupta, S. M. (2010). Environmentally conscious manufacturing and product recovery (ECMPRO): a review of the state of the art. Journal of Environmental Management, 91(3), 563–591.
Jabal Ameli, M. S., Azad, N., & Rastpour, A. (2009). Designing a Supply Chain Network Model with Uncertain Demand and Lead Times. Journal of Uncertain Systems, 3(2), 123-130.
Jayaraman, V., Guige Jr., V. D. R., & Srivastava, R. (1999). A closed-loop logistics model for manufacturing. The Journal of the Operational Research Society, 50(5), 497–508.
Jayaraman, V., Patterson, R. A., & Rolland, E. (2003). The design of reverse distribution networks: models and solution procedures. European Journal of Operational Research, 150(1), 128–149.
Jiménez, M. (1996). Ranking fuzzy numbers through the comparison of its expected intervals. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 4(4), 379-388.
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.
Ko, H. J., & Evans, G. W. (2007). A genetic-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs. Computers & Operations Research, 34(2), 346–366.
Krikke, H. R., Van Harten, A., & Schuur, P. C. (1999). Reverse logistic network re-design for copiers. OR Spektrum, 21(3), 381–409.
Lee, D., & Dong, M. (2007). A heuristic approach to logistics network design for end-of-lease computer products recovery. Transportation Research Part E: Logistics and Transportation Review, 44(3), 455–474.
Lian, Qi., & Zuo-Jun Max, Sh. (2007). A supply chain design model with unreliable supply. Naval Research Logistics, 54(8), 829-844.
Listes O., & Dekker, R. (2005). A stochastic approach to a case study for product recovery network design. European Journal of Operational Research, 160(1), 268–287.
Lu, Z., & Bostel, N. (2007). A facility location model for logistics systems including reverse flows: the case of remanufacturing activities. Computers & Operations Research, 34(2), 299–323.
Melkote, S., & Daskin, M. S. (2001). Capacitated facility location/network design problem. European Journal of Operation Research, 129(3), 481-495.
Min, H., Ko, C. S., & Ko, H. J. (2006). The spatial and temporal consolidation of returned products in a closed-loop supply chain network. Computers & Industrial Engineering, 51(2), 309–320.
Ozdemir, D., Yucesan, E., & Herer, Y. T. (2006). Multi-location transshipment problem with capacitated transportation. European Journal of Operational Research, 175(1), 602-621.
Pati, R., Vrat, P., & Kumar, P. (2008). A goal programming model for paper recycling system. Omega, 36(3), 405–417.
Pirkul, H., & Jayaraman, V. (1998). A multi-commodity, Multi-Plant, Capacitated Facility Location Problem: Formulation and Efficient Heuristic Solution. Computers and Operational Research, 25(10), 869-878.
Pishvaee, M. S., Farahani, R. Z., & Dullaert, W. (2010). A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Computers & Operations Research, 37(6), 1100–1112.
Pishvaee, M. S., Jolai, F., & 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., & 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., & Razmi, J. (2012). Environmental supply chain network design using multi-objective fuzzy mathematical programming. Applied Mathematical Modelling, 36(8), 3433-3446.
Pishvaee, M. S., & Torabi, S. A. (2010). A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy Sets and Systems, 161(20), 2668-2683.
Qin, Y., & Jin, M. (2009). Optimal Model and Algorithm for Multi-Commodity Logistics Network Design Considering Stochastic Demand and Inventory Control Original Research Article. Systems Engineering-Theory & Practice, 29(4), 176-183.
Quariguasi Frota Neto, J., Bloemhof-Ruwaard, J. M., van Nunen, J. A. E .E., & van Heck, E. (2008). Designing and evaluating sustainable logistics networks. International Journal of Production Economics, 111(2), 195–208.
Quariguasi Frota Neto, J., Walther, G., Bloemhof, J., van Nunen, J. A. E. E., & Spengler, T. (2009). A methodology for assessing eco-ef?ciency in logistics networks. European Journal of Operational Research, 193(3), 670–682.
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.
Sawik, T. (2011). Supplier selection in make-to-order environment with risks. Mathematical and Computer Modelling, 53(9), 1670-1679.
Shaw, K., Shankar, R., Yadav, S. S., & Thakur, L. S. (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems with Applications, 39(9), 8182-8192.
Syam, S. S. (2002). A model and methodologies for the location problem with logistical components. Computers and Operations Research, 29(9), 1173-1193.
Thanh, P. N., Bostel, N., & Peton, O. (2008). A dynamic model for facility location in the design of complex supply chains. International Journal of Production Economics, 113(2), 678-693.
Wang, H. F., & Hsu, H. W. (2010a). Resolution of an uncertain closed-loop logistics model: An application to fuzzy linear programs with risk analysis. Journal of Environmental Management, 91(11), 2148-2162.
Wang, H. F., & Hsu, H. W. (2010b). A closed-loop logistic model with a spanning-tree based genetic algorithm. Computers & Operations Research, 37(2), 376–389.
Yager, R. R. (1981). A procedure for ordering fuzzy subsets of the unit interval. Information Sciences, 24(2), 143-161.