Study On Model And GIS Integration Of Assistant Decision For Forest By-products Distribution Optimization

The distribution is a very important part of the modern logistics system. It is also an integration of the modern marking economic regimes, the modern scientific technologies and modern logistics management ideas. The reasonability of distribution route greatly impacts the speed, the cost and the efficiency of the distribution process. The distribution cost could be cut down, and the consumer demand of fixed place, time and quantity could be satisfied if the distribution process was reasonable. And the negative external effect of the urban environments such as traffic jam, noise and pollution could also be lowered. This paper based on the management and application about spatial information of GIS and study on model of assistant decision for forest by-products optimization distribution. The main intentions were to study the integration theory and methods of assistant decision system for forest by-products based on GIS. This paper mainly included the follow content.(1) The present development and study status about the logistics distribution and application and study status about its management system based on GIS was analyzed firstly. The result showed that study on being oriented to application about vehicle route optimization problem was becoming more important with developing and applying on GIS and GPS. Now the comprehensive study on integration between the model of logistics distribution optimization and GIS system was absent. And there was also lack of the study and application on real time obtaining route and making a strategic decision on distribution.(2) Basis of theory and algorithm was analyzed in a systematic way. The computer memorizing of logistics distribution network is very important to achieve the optimization of logistics distribution. So the complexity and the search mechanism of spatial and time of the three major storage structure were analyzed. The shortest path problem is the basis for GIS to calculate the real-time path. Some current shortest path algorithms were studied and the algorithmic processes of them were designed. The rapid realization methods of two types of shortest path problem of logistics transport network were described. They were the shortest path problems between two points and muliti-points. The vehicle scheduling problem is the important theoretical foundation for the logistics and distribution optimization. The main characteristics and implementation strategy of three types of distribution optimization problem were analyzed. They mainly included the Location Allocation Problems (LAP), Vehicle Routing Problems (VRP) and Location Routing Problems (LRP). The elements and types of vehicle scheduling problem were analyzed firstly. Then the main problem of this paper to study was decided as the urban logistics distribution vehicle route optimization problem based on one center, not-fully load and non open. The heuristic optimization strategy is the main methods to solve the vehicle scheduling problem. So its rationale, implementation tactics and process was analyzed. These analyses ensured integrality of study objective. Some of them might applied directly and some of them were the basis for the following models and algorithms(3) The characteristics and modes of forest by-products logistics distribution were discussed and the results were pointing out that the non-load vehicle scheduling problem is the most universal significance to the logistics distribution problem. Then according to the principle of regional advantages, an optimization model for forest by-products distribution was established. The simulation computed by genetic algorithm showed that the model has better adaptability and could solve forest by-products logistics distribution vehicles optimal scheduling problems.(4) The problems of system integration between logistics distribution optimization model and the GIS-based spatial information system were discussed. The results showed that the effective data integration approach was storing and managing the spatial data and attribute data together in the relation database management systems (RDBMS). The method of data organization about SuperMap GIS was analyzed and the electronic map of Quanzhou city was designed based on SuperMap GIS platform. Then a new data organization method of logistics distribution optimization system based on Fast Search strategy was put forward. That was using two arrays to store and manage traffic network data, one of them (Arc_List) was to store the arcs data, and the other (Nodelndex) was to store related node data. Although some extra storage spaces were used, the search efficiency was enhanced because the two-way information of arcs was recorded with Arc_List. The data organization method of the logistics nodes (also called logistics demand or distribution points) was also designed. The data was organized separately by a node array (L_Node) and an arcs cost matrix (L_Arc). The main models to integrate the functions of GIS-based logistics distribution system were discussed. They mainly included symmetric structure integration model, OLE technology integration model, COM technology integration model, XML technology integration model, CORBA technology integration model, agent technology integration model and JAVA technology integration model. The result showed that function combined by J2EE, EJB and XML was positive selection to develop the Web structure system of logistics distribution based on GIS if the cost and cross-platform was considered.(5) The scheme about support system of GIS-based forest by-products for gathering and distributing was designed and a general scheme of forest by-products distribution based on order management was proposed.