TITLE:
The Study in Supply Chain of Auto Parts Based on Milk-Run
AUTHORS:
Xufeng Zhang, Lina Zou, Zhuang Hu
KEYWORDS:
Third Party Logistics Companies, Milk-Run, Vehicle Routing Optimization
JOURNAL NAME:
Open Journal of Business and Management,
Vol.4 No.4,
October
31,
2016
ABSTRACT: 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.