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Research And Design On GIS-based Logistics Distribution System

Posted on:2007-06-25Degree:MasterType:Thesis
Country:ChinaCandidate:L LinFull Text:PDF
GTID:2178360185969172Subject:Computer technology and applications
Abstract/Summary:PDF Full Text Request
As an advanced organization method and management technology, modern logistics has been recognized as"the third profit source"for an enterprise. It integrates the value chain of enterprises, reinforces the control capability and accelerates fund turnover by the reduction of circulation cost and time. In the field of E-commerce, it is especially necessary for providers to obtain real-time information comprehensively and immediately, so as to make producing and marketing plan and adjust the marketing strategy. The integration of geographical information system (GIS) into the logistics distribution procedure would contribute effectively to the distribution conduction. It provides sound management and decision-making analysis for the issues related to geographical information, such as logistic facility location, vehicle dispatch, delivery route selection, optimal stock control. Therefore, it leads to the effective use of available source, labor cost reduction and efficiency improvement in the logistics enterprises.In distribution management, reasonable selection of distribution route is the key to successful logistic cost control. Considering the features of urban logistic distribution and practical application, this research aims at the establishment of the optimization model for vehicle routing, and investigates the key technology in GIS-based logistics distribution system integration. This paper starts with the introduction of the recent research and development on GIS-based logistics distribution system at home and abroad. Then the core issue in distribution process, the vehicle routing design is further studied. This project applies the Greedy Method to solve the VRP with step-by-step answers, which turns it into Traveling Salesman...
Keywords/Search Tags:GIS, Logistics distribution, Optimization of routing, Ant Colony Algorithm, TSP
PDF Full Text Request
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