Design And Implementation Of Logistics Distribution System Based On WebGIS

Competition among modern enterprises is not only in terms of technologies and talented personnels, but also in terms of logistics and supply chains. Nowadays the chance for enterprises to obtain potential profits by reducing material consumption (the first source of profits) and the labor consumption (the second source of profits) is getting smaller and smaller. But the chance for them to earn the profit by reducing logistics costs (the third source of profits) is much greater. For enterprises, modern logistics has become an important source of reducing cost and getting more competitive advantages. However, it is difficult for many SMEs (small and medium enterprises) to establish a highly efficient international logistics system on their own due to financial and personnel limits. The SMEs, that need "warehousing, transportation, EDI information exchange, order fulfillment, automated replenishment, viecle selection, packaging, labeling, product combination and the import and export agent" to work as an integrity part, can only choose to use a "third-party logistics". Rather, a set of portable low-cost path planning logistics system would efficiently solve this kind of problems faced by SMEs, which only deal with pickup and delivery.This paper is aimed at designing a portable low-cost path planning logistics system based on GoogleEarth platform. Researches are done to explore several key technologies, including data real-time collection with WebGIS-based GPS, GPS data collection and conversion in different logistics platforms, TSP modeling of logistics and distribution path planning, logistics path planning with genetic algorithm, and so on, which have considerably theoretical and practical application values.Researches presented in this paper are as follows:This paper firstly gives an overview of the development of modern logistics, the status quo of domestic and international logistics system researches, and the emergence and limitations of third-party logistics.Grounded on thorough researches on GPS/GPRS/GIS technologies, this paper analyzes the GIS data storage mechanism and divides the data input system into two subsystems: GPS data collection subsystem and GPS data conversion subsystem, which provide users with the function of real-time portable data collection as well as the function of KML- and ObjectARX-based seamless two-way data conversion. Based on the comparative studies of several algorithms commonly-used in solving Non-deterministic Polynomial problems, the genetic algorithm is chosen as the core algorithm in this paper. In WebGIS environment, routing planning problems are abstracted into TSP problems, then the genetic algorithm is used to find Hamilton Road and finally provides the optimized path.