1 Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

2 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.

3 Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran


The importance of social responsibility in organizational and business units have been increasingly stressed by the researchers in recent years. As the supply chain plays an important role in today's business environment, the issue of social responsibility must be carefully considered in designing and planning supply chain.This paper considers the social responsibility to be one of the goals of designing the reverse logistics network for recycling large household waste in terms of uncertainty. To deal with the uncertainty in proposed model, scenario-based random planning is used, and the proposed model has been solved by using GAMS Software. Since the objective function value has been taken into consideration for the model of social responsibility as one of the objectives, the objective function value is more than basic model one; we tried to present an approach as a motivational factor for enterprises to move towards the adoption of social responsibility towards society.


Lee, J., Gen, M. and Rhee, K. (2009). “Network model and optimization of reverse logistics by hybrid genetic algorithm”, Computers & Industrial Engineering, Vol. 56, No. 3, pp. 951-961.
Bagheri-neghad, Z. and Kazemzadeh, R. and Asadi, R. (2013). “Identifying and ranking of success factors in automotive reverse logistics through interpretive structural modeling (ISM)”,  journal of Management Research in Iran, Vol. 17, No. 1, pp 21-40.
Carter, C.R. and Jennings, M.M. (2002). “Social responsibility and supply chain relationships”. Transportation Research Part E: Logistics and Transportation Review, Vol. 38, No. 1, pp. 37-52.
Cruz, J.M. and 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, No. 1, pp. 61-74.
Dehghanian, F. and Mansour, S. (2009). “Designing sustainable recovery network of end-of-life products using genetic algorithm”, Resources, Conservation and Recycling, Vol. 53, No. 10, pp. 559-570.
Pishvaee, M.S. and Razmi, J. and Torabi, S.A. (2012). “Robust possibilistic programming for socially responsible supply chain network design: A new approach”, Fuzzy Sets and Systems, Vol. 206, No. 1, pp. 1-20.
Devika, K. and Jafarian, A. and Nourbakhsh, V. (2014). “Designing a sustainable closed-loop  supply chain network based on triple bottom line approach: A comparison of meta-heuristics hybridization techniques”,  European Journal of Operational Research, Vol. 235, No. 3, pp. 594-615.
Chang, M.S. and Yang, W.C. (2013). “A stochastic network design of bulky waste recycling—a hybrid harmony search approach based on sample approximation”, International Journal of Applied Operational Research, Vol. 3, No. 3, pp. 15-40.
Erol, I., Sencer, S. and Sari, R. (2011). “A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain”, Ecological Economics, Vol. 70, No. 6, pp. 1088-1100.
Eskandari, M., Homaee, M. and Mahmodi, S. (2012). “An integrated multi criteria approach for landfill siting in a conflicting environmental, economical and socio-cultural area”, Waste Management, Vol. 32, No. 8, pp. 1528-1538.