With the development of economy, the logistics plays a more important role in the economy. The weather disaster and accidents influence the development of economy more deeply. The question of how to gather the information, how to prevent the occurrence of emergency incidents as well as in the event of an accident has become the logistics emergency system development direction to be research.According to the emergency system needs, this paper proposes an overall design of fourth-party logistics (4PL) emergency system base on GIS. It designs and implements the GeoDatabase base on the information of users and 3PLs, the real-time tracking system and the path optimization system base on GeoDatabase and weather information.In geography database subsystem, this paper builds a network of the supply chain. Add the attribute of logistics and geography to the network and make the path optimization system base on it. Make the may lays for the 3PLs and the other company relates to logistics. The network supplies the logistics emergency system with data.In the real-time tracking and management subsystem, the system could monitor the transports by using the integrated technology of GPS and GPRS. It gets the real-time information of cars through the web services of the 3PL company. The system displays all information of logistics emergency system on the electric map using B/S model.In the subsystem of path optimization system base on weather information, it gets the information of weather though the web services from the internet, grades the information of weather using ontology, and optimize paths of the supply chain network to avoid the bad weather or reduce the influence of it.In sum, the research results and related realization achieve a platform of (4PL) emergency system architecture and key technologies. It does make sense to implement the weather warning emergency system with and to build (4PL) emergency system based on GIS.
The Research of Fourth-Party Logistics Emergency System Vehicle Monitor and Path Optimization
Posted by GIS PARK on January 15th, 2012 |
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