Highlights Present a model that designs reliable logistics network for a biomass supply chain. Disruption probabilities of hubs are estimated using a probabilistic model. An accelerated Benders decomposition algorithm is proposed to solve the problem. Numerical results reveal impact of hub disruption risks on a biomass supply chain.

    Abstract This study presents a mathematical model that designs a reliable multi-modal transportation network for a biofuel supply chain system, where intermodal hubs are subject to site-dependent probabilistic disruptions. The disruption probabilities of intermodal hubs are estimated by using a probabilistic model which is developed using real world data. We developed an accelerated Benders decomposition algorithm to solve this challenging NP-hard problem. Numerical analysis show that the model selects to use intermodal hubs located in areas with low disruption probabilities. In case of a disaster, the reliable solution results in 6.21% savings over the minimum cost solution.


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    Title :

    Analyzing the impact of intermodal-related risk to the design and management of biofuel supply chain


    Contributors:


    Publication date :

    2014-06-06


    Size :

    24 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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