Journal
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume 99, Issue -, Pages 54-76Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2017.01.005
Keywords
Biomass supply chain network design; Dynamic freight routing; Facility congestion; Benders decomposition; Rolling horizon heuristic
Categories
Funding
- National Center for Intermodal Transportation and Economic Competitiveness (NCITEC) [USDOT 009067-019]
- National Science Foundation [NSF 1462420]
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [1462420] Funding Source: National Science Foundation
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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 nonlinear 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. (C) 2017 Elsevier Ltd. All rights reserved.
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