Hazardous materials (hazmat) storage and transportation pose threats to people’s safety and the environment, which creates a need for governments and local authorities to regulate such shipments. This paper proposes a novel mathematical model for what is termed the hazmat closed-loop supply chain network design problem. The model, which can be viewed as a way to combine several directions previously considered in the literature, includes two echelons in the forward direction (production and distribution centers), three echelons in the backward direction (collection, recovery, and disposal centers), and emergency response team positioning. The two objectives of minimizing the strategic, tactical, and operational costs as well as the risk exposure on road networks are considered in this model. Since the forward flow of hazmat is directly related to the reverse flow, and since hazmat accidents can occur at all stages of the lifecycle (storage, shipment, loading, and unloading, etc.), it is argued that such a unified framework is essential. A robust framework is also presented to hedge the optimization model in case of demand and return uncertainty. The performance of both models is evaluated based on a standard dataset from Albany, NY. Considering the trade-offs between cost and risk, the results demonstrate the design of efficient hazmat closed-loop supply chain networks where the risk exposure can be reduced significantly by employing the proposed models.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Robust Hazardous Materials Closed-Loop Supply Chain Network Design with Emergency Response Teams Location


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2021-02-02




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Closed-loop supply chain network design for the paper industry: Amulti-objective stochastic robust approach

    Seifbarghy, Mehdi / Rahmani Ahranjani, Arezoo / Bozorgi-Amiri, Ali et al. | BASE | 2018

    Free access


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

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