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

Mohammad Marufuzzaman, Sandra D. Eksioglu, Xiaopeng Li and Jin Wang

Transportation Research Part E: Logistics and Transportation Review, 2014, vol. 69, issue C, 122-145

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.

Keywords: Supply chain design; Intermodal hub disruption; Densified biomass; Rail and barge transportation; Benders decomposition (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (25)

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DOI: 10.1016/j.tre.2014.06.008

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