Abstract
This paper presents a closed loop supply chain model for motorcycle in Thailand. Firstly, the demand of future second hand motorcycle and number of End-of-life vehicle is forecasted by using Cohort method then the network is optimized by using Genetic Algorithm in various scenarios to obtain the optimal number and location of facilities. By using Genetic Algorithm, in comparison with Monte Carlo method, the results showed reliable output. In addition, when distribution centre is introduced to the network, the travel cost is decreased but increased in construction cost. However, this introduced system may be suitable for long term planning.
