Article ID: | iaor20115182 |
Volume: | 9 |
Issue: | 1 |
Start Page Number: | 22 |
End Page Number: | 42 |
Publication Date: | May 2011 |
Journal: | International Journal of Logistics Systems and Management |
Authors: | Pradhananga R, Hanaoka S, Sattayaprasert W |
Keywords: | combinatorial optimization, risk, heuristics: genetic algorithms |
This paper introduces an optimisation model for transportation of the hazardous material (Hazmat). The focus is on application to developing countries like Thailand. The objective of the proposed Vehicle Routing Problem with Time Window (VRPTW) model for Hazmat routing is to minimise the economic and risk costs using available data and information for the case study. Genetic Algorithm (GA) is used to solve the model. Results in application to the case study showed its effective performance both in economic as well as safety aspects providing a useful approach for number of companies involved in Hazmat transport activities in developing countries.