Author(s)

Xufeng Zhang, Lina Zou, Zhuang Hu

Beijing Wuzi University, Beijing, China.

With the rapid development of the domestic economy, the output of the automobile industry is growing dramatically. The increasing number of the suppliers, auto parts and their categories has brought more challenges to the third party automobile logistics provider with requirements of better service mode and quality. The poor optimal state of the original delivery route and low vehicle loading rate have a huge impact on the production effectiveness. Thus, according to this problem, a virtual automobile factory has been set with specific auto parts orderings with the purpose of optimizing the delivery route and rising the vehicle loading rate. Combining with the location of the picking points, transport frequency and the loading capacity of each vehicle, taboo search algorithm has been applied to the milk-run mode to help develop a better delivery route for the logistic company.

Third Party Logistics Companies, Milk-Run, Vehicle Routing Optimization

Zhang, X. , Zou, L. and Hu, Z. (2016) The Study in Supply Chain of Auto Parts Based on Milk-Run. Open Journal of Business and Management, 4, 778-783. doi: 10.4236/ojbm.2016.44075.