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.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty




    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    85.00 / 55.82 Güterverkehr



    Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty

    Zhalechian, M. / Tavakkoli-Moghaddam, R. / Zahiri, B. et al. | Elsevier | 2016


    Closed-Loop Supply Chain Network Design Under Demand and Return Uncertainty

    Üster, Halit / Hwang, Sung Ook | British Library Online Contents | 2017



    A coordinated location-inventory problem in closed-loop supply chain

    Zhang, Zhi-Hai / Unnikrishnan, Avinash | Elsevier | 2016