A Study Of The Vehicle Logistics Multimodal Transportation Path Problem Of Company A Based On Improved Ant Colony Algorithm

According to the figures released by China Association of Automobile Manufactures on January 12,2016,Chinese auto production of 2015 has reached 24.5 million units, with year-on-year growth of 3.25 percent. Passenger car sales rose 7.3 percent from the level of the previous year to 21.14 million. And this growth trend will remain in 2016. With the development of passenger car market and auto industry, the auto industry competition is intensifying. The automobile enterprise pay lots of attention on cost optimization.The vehicle logistics is the core part of automobile logistics. Cost optimization of vehicle logistics has great effect to the whole auto industry cost savings. Currently in China, more than 80 percent of passenger cars are transported by road transportation,but the imperfection of road transportation such as a single transport mode, small transportation batch, multiple shipments and high return empty loading rate. These problems make the cost of the vehicle logistics stay at a high level. Compared with European and America, China has a lot of space to improve on the vehicle logistics.Multimodal transportation is the mode that was used in international trade. It can combine different transportation modes, and give full play to the advantage of them, and reduce the cost largely. But in china, multimodal transportation has not been used widely in the vehicle logistics. Once it has been widely used, cost reduction effect is obvious.A car logistics company has built some base installation of multimodal transportation, and it helps the company reduce large cost. In this paper, we used A company as a example, basing on the idea of VRP, we built a model in the vehicle logistics multimodal transportation path problem. Finally, we used the improved ant colony algorithm to prove the validity of the model.In this paper, the elements in transportation such as routing, selection of transportation, time windows of clients has been considered, so the final math model can be used to solve the vehicle logistics multimodal transportation path problem. The solution can provide suggestions for some vehicle company. And this paper can enrich the theory and practice of related research.