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Managing congestion in supply chains via dynamic freight routing: An application in the biomass supply chain

Mohammad Marufuzzaman and Sandra Duni Ekşioğlu

Transportation Research Part E: Logistics and Transportation Review, 2017, vol. 99, issue C, 54-76

Abstract: This paper manages congestion in the supply chain via dynamic freight routing and using multi-modal facilities in different time periods of a year. The proposed mixed integer non-linear program (MINLP) model captures the trade-offs that exists between investment, transportation, and congestion management decisions. A linear approximation of the proposed MINLP model is then solved using a hybrid Benders-based rolling horizon algorithm. The performance of the algorithm is tested on a case study that uses data from the Southeast USA biomass supply chain network. Extensive numerical experiments provide managerial insights to manage congestion from the biomass supply chain network.

Keywords: Biomass supply chain network design; Dynamic freight routing; Facility congestion; Benders decomposition; Rolling horizon heuristic (search for similar items in EconPapers)
Date: 2017
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