Robust Hazmat Network Design Problems Considering Risk Uncertainty
Document Type
Article
Publication Date
11-2016
Keywords
hazardous materials transportation, network design, robust optimization
Digital Object Identifier (DOI)
https://doi.org/10.1287/trsc.2015.0645
Abstract
We study robust network design problems for hazardous materials transportation considering risk uncertainty. Risk uncertainty is considered in two ways: (1) uncertainty on each link for each shipment, and (2) uncertainty on each link across all shipments. We extend an existing heuristic framework to solve these two robust network design problems and propose a Lagrangian relaxation heuristic to solve subproblems within the framework. We present our computational experiences and illustrate general insights based on real networks.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Transportation Science, v. 50, issue 4, p. 1188-1203
Scholar Commons Citation
Sun, Longsheng; Karwan, Mark H.; and Kwon, Changhyun, "Robust Hazmat Network Design Problems Considering Risk Uncertainty" (2016). Industrial and Management Systems Engineering Faculty Publications. 4.
https://digitalcommons.usf.edu/egs_facpub/4
