Title :
A risk-cost minimization model for catastrophe averse shipment of hazardous materials
Author_Institution :
Grad. Sch. of Inf. Syst., Univ. of Electro-Commun., Chofu
Abstract :
This article provides a quantitative method for estimating mixed routing strategies for catastrophe averse shipment of hazardous materials (hazmats), taking into account of both transportation cost and risk. The mixed routing problem is first formulate as a maximin problem and then is reduced to a single-level convex programming problem (CP). This CP reduction enables us to develop an efficient solution algorithm applicable to real-world large-scale networks.
Keywords :
catastrophe theory; convex programming; costing; hazardous materials; materials handling; minimisation; risk analysis; transportation; catastrophe averse shipment; hazardous materials; hazmats; maximin problem; mixed routing strategy; real-world large-scale networks; risk-cost minimization model; single-level convex programming problem; transportation cost; Costs; Electronic mail; Hazardous materials; Information systems; Large-scale systems; Minimization methods; Radioactive materials; Routing; Telecommunication traffic; Transportation; hazardous materials; logit traffic assignment; risk-averse routing;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4654836
