A Study of Inventory-Routing Problem for the Distribution System by Applying Genetic Algorithm
This study will apply specific operations data of a real logistics firm to analyze Inventory-Routing problems. We first develop a mathematical model for the problem, und then apply a Savings method for the initial feasible solution, and finally implement Genetic Algorithm to obtain the optimal solution. The numerical examples arc given to acquire the optimal total inventory routing cost, the optimal delivery routes, the economic order quantities, the optimal service levels, and the reorder points for the retail stores in these proposed routes. The results show that this model can be successfully applied in Inventory-Routing problem in a very efficient nay. The performance of this proposed approach is also compared with Savings method and the current routing planning implemented by this specific logistics company. Consequently, the outcome of this study is very promising in many aspects and should be helpful to this logistics company for its future planning of the distribution system.
Inventory-Routing problem Genetic Algorithm Savings Algorithm
Gia-Shie Liu Kuo-Ping Lin Hao-Wei Lee Chung-Yung Wang
Department of Information Management. Lunghwa University of Science and Technology Chinese Taipei Department of Logistics Management, University of Defense Chinese Taipei
国际会议
大连
英文
104-108
2011-07-10（万方平台首次上网日期，不代表论文的发表时间）