Sustainable design of a closed loop location routing inventory supply chain network under mixed uncertainty
Considering economic, environmental and social impacts, this paper presents a new sustainable closed loop location routing inventory model under mixed uncertainty. The environmental impacts of CO2 emissions, fuel consumption, wasted energy and the social impacts of created job opportunities and economic development are considered in this paper. The uncertain nature of the network is handled using a stochastic possibilistic programming approach. Furthermore, for large sized problems, a hybrid meta heuristic algorithm and lower bounds are developed and discussed. Finally, a real case study is provided to demonstrate the applicability of the model in real world applications, and several in depth analyses are conducted to develop managerial implications.