Robust Facility Location Problem for Hazardous Waste Transportation
Document Type
Article
Publication Date
3-2014
Keywords
location problem, hazardous waste facility, robust optimization, genetic algorithm
Digital Object Identifier (DOI)
https://doi.org/10.1007%2Fs11067-013-9208-4
Abstract
We consider a robust facility location problem for hazardous materials (hazmat) transportation considering routing decisions of hazmat carriers. Given a network and a known set of nodes from which hazmat originate, we compute the locations of hazmat processing sites (e.g. incinerators) which will minimize total cost, in terms of fixed facility cost, transportation cost, and exposure risk. We assume that hazmat will be taken to the closest existing processing site. We present an exact full enumeration method, which is useful for small or medium-size problems. For larger problems, the use of a genetic algorithm is explored. Through numerical experiments, we discuss the impact of uncertainty and robust optimization in the hazmat combined location-routing problem.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
Networks and Spatial Economics, v. 14, issue 1, p. 91-116
Scholar Commons Citation
Berglund, Paul G. and Kwon, Changhyun, "Robust Facility Location Problem for Hazardous Waste Transportation" (2014). Industrial and Management Systems Engineering Faculty Publications. 31.
https://digitalcommons.usf.edu/egs_facpub/31
