Research On Intelligent Distribution System Based On GIS

Modem logistics is an important way for enterprises to reduce production costs and increase market competitiveness. The efficiency and operation level of the distribution, which is one of the critical nodes in the logistics system, to a great degree determines the success or failure of the logistics system. However, the decision-making process of current distribution system primarily relies on manual mode, which has become the bottleneck inhibiting the development of enterprises. The application of GIS technology to distribution field is the necessary trend because distribution service accompanying the dynamic change of space location is a typical space event and process. The GIS technological support is essential to realization of the information-based intelligent management of distribution enterprises, whether in the operational level of distribution business, or the management level and decision-making level of distribution. Therefore, strengthening the research on the decision-making process of current distribution and the research on GIS' application in the distribution service is crucial, it can help the logistics enterprises achieve intelligent distribution management, reduce the distribution service cost and improve distribution efficiency.This paper systematically analyzed the operation flow and existing issues in current logistics distribution. In accordance with the criterion of distribution rationalization and in combination with the practical needs, this paper discussed and researched the related technology and methods about the distribution scheduling model and intelligent distribution system based on GIS. Afterwards, it designed and realized a prototype system of intelligent distribution. The primary research content and the main achievement in this paper included:(1) Analyzed the research progress and existing issues both in logistics distribution and the integration of logistics distribution and GIS, by means of the detailed anatomy of distribution operation, established intelligent distribution system.(2) Primarily performed research on the core issue in distribution, the issue of distribution scheduling. To solve the choices of vehicles, the choices of cargo loading, the route planning of distribution and other issues, established the optimized scheduling model in distribution and also discussed the algorithms used to solve the model. It combined the genetics algorithm and simulated annealing algorithm to solve the issue. It experimentally proved that the solution is feasible and effective.(3) In response to current GIS software's deficiency in meeting the complex needs of logistics distribution, this paper performed research on the integration between GIS and optimized scheduling model, presented a pragmatic integration scheme, discussed the detailed integration process and provided a new distribution scheduling method. Moreover, supported by this integration and monitoring sub-system, this paper gave a detailed analysis of control process during vehicles' on-the-way process.(4) After the aforementioned research, on the basis of the actual distribution business of a logistics company in Nanjing and the the basic geographic data of Nanjing, this paper built a prototype system of intelligent distribution and verified the feasibility of this research.The design thinking and research method has its value for the reasonable implementation of the logistics distribution process. It is able to improve the service satisfaction level of customers and reduce the enterprise operational costs. It is consistent with the future developmental trend in logistics distribution service.