ISO/TMB/WG/SR. )2006(.“Participating in the Future International Standard ISO 26000 on Social Responsibility”. International Organization for Standardization, Geneva.
[2] نیک نژاد، د.، (1388)، بررسی پیامدهای ناشی از گازهای گلخانهای و اثرات آن برروی کره زمین، سومین کنفرانس محیط زیست، تهران.
[3] Fleischmann, M., Beullens, P., Bloemhof-Ruwaard, J.M., Van Wassenhove L.N. (2001). “Supply-chain network configuration for product recovery”. Production Planning & Control, 15, 270-281.
[4] Beamon, B.M., & Fernandes, C. (2004). “Supply-chain network configuration for product recovery”. Production Planning & Control, vol. 15, pp. 270-281..
[5] KO, H.J., Evans, G.W. (2007). “A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs”. Computers & Operations Research, vol. 34, pp. 346-366.
[6] 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, vol. 179, pp. 1063-1077.
[7] Pishvaee, M.S., Jolai, F., Razmi, J. (2009). “A stochastic optimization model for integrated forward/reverse logistics network design”. Journal of Manufacturing Systems, vol. 28, pp. 107-114.
[8] El-Sayed, M., Afia, N., El-Kharbotly, A. (2010). “A stochastic model for forward–reverse logistics network design under risk”. Computers & Industrial Engineering, vol. 58, pp. 423-431.
[9] Pishvaee, M.S., Torabi, S.A. (2010). “A possibilistic programming approach for closed-loop supply chain network design under uncertainty”. Fuzzy Sets and Systems, vol. 161, pp. 2668-2683.
[10] 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, vol. 35, pp. 637-649.
[11] Vahdani, B., Tavakkoli-Moghaddam, R., Modarres, M., Baboli, A. (2012). “Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model," Transportation Research Part E: Logistics and Transportation Review, vol. 48, pp. 1152-1168.
[12] Hasani, A., Zegordi, S.H., Nikbakhsh, E. (2012). “Robust closed-loop supply chain network design for perishable goods in agile manufacturing under uncertainty”. International Journal of Production Research, vol. 50, pp. 4649-4669.
[13] Ramezani, M., Bashiri, M., 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, vol. 37, pp. 328-344.
[14] Faccio, M., Persona, A., Sgarbossa, F., Zanin, G. (2013). “Sustainable SC through the complete reprocessing of end-of-life products by manufacturers: A traditional versus social responsibility company perspective”. European Journal of Operational Research.
[15] Amin, S.H., & Zhang, G. (2012). “A multi-objective facility location model for closed-loop supply chain under uncertain demand and return”. Applied Mathematical Modeling, vol. 37, pp. 4165- 4176.
[16] Pishvaee, M.S., Razmi, J. (2012). “Environmental supply chain network design using multi-objective fuzzy mathematical programming”. Applied Mathematical Modelling, vol. 36, pp. 3433-3446.
[17] Wang, Y., Zhu, X., Lu, T., Jeeva, A.S. (2013) “Eco-efficient based logistics network design in hybrid manufacturing/ remanufacturing system in low-carbon economy”. Journal of Industrial Engineering and Management, vol. 6, pp. 200-214.
[18] Carter, C.R., Jennings, M.M. (2002). “Social responsibility and supply chain relationships”. Transportation Research Part E: Logistics and Transportation Review, vol. 38, pp. 37-52.
[19] Cruz, J.M., & Wakolbinger, T. (2008). “Multiperiod effects of corporate social responsibility on supply chain networks, transaction costs, emissions, and risk," International Journal of Production Economics, vol. 116, pp. 61-74.
[20] Cruz, J.M. (2009). “The impact of corporate social responsibility in supply chain management: Multicriteria decision-making approach”. Decision Support Systems, vol. 48, pp. 224-236.
[21] Dehghanian F., Mansour, S. (2009). “Designing sustainable recovery network of end-of-life products using genetic algorithm”. Resources, Conservation and Recycling, vol. 53, pp. 559-570.
[22] Pishvaee, M.S., Razmi, J., Torabi,, S.A. (2012). “Robust possibilistic programming for socially responsible supply chain network design: A new approach”. Fuzzy Sets and Systems, vol. 206, pp. 1-20.
[23] Mulvey, J.M. Vanderbei, R.J., Zenios, S.A. (1995). “Robust optimization of large-scale systems. Operations Research”. Operations Research,vol 43,pp.264-281.
[24] Yu, C.S., Li, H.L. (2000). “A robust optimization model for stochastic logistic problems”. International Journal of Production Economics, vol. 64, pp. 385-397.
[25] Torabi, S.A., Hassini, E. (2008). “An interactive possibilistic programming approach for multiple objective supply chain master planning”. Fuzzy Sets and Systems, vol. 159, pp. 193-214.
[26] Strezov, V., Evans, A., Evans, T. (2013) “Defining sustainability indicators of iron and steel production” .
Journal of Cleaner Production, vol. 51, pp. 66-70.