Title :
Knowledge Management Model of Logistics Based on Grid Technology
Author :
Su, Haitao ; Xue, Yan ; Jiang, Xiaoyan
Author_Institution :
Sch. of Econ. & Manage., Nanchang Univ., Nanchang, China
Abstract :
Grid technology can achieve full connectivity of network resources, eliminate information silos, and thus realize resource sharing. Through standardized management of knowledge, the knowledge excavation, access and reuse can be facilitated. Because of the limitation of information management object, it is difficult to achieve the goal of intelligent logistics system, making logistics information inevitably develop towards the knowledge management phrase. Network technology integrates the relevant organizational and individual knowledge scattering in different regions of the world into logistics management process thus make the knowledge integration get rid of the time and space constraints. The paper constructs the model of logistic knowledge management frame, explores the grid-based knowledge acquisition and processing methods, and establishes the acquisition and classification model of logistic information knowledge as well as the logistic knowledge mining model of customer-oriented needs, which is conductive to a high degree of resource sharing and efficiency.
Keywords :
grid computing; knowledge acquisition; knowledge management; logistics; logistics data processing; grid technology; grid-based knowledge acquisition; information management object; intelligent logistics system; knowledge excavation; knowledge processing methods; knowledge scattering; logistic knowledge management frame model; logistic knowledge mining model; logistic model; network resources; network technology; resource sharing; Biological system modeling; Data mining; Knowledge acquisition; Knowledge management; Logistics; grid technology; knowledge management; logistics; neural network;
Conference_Titel :
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location :
Beidaihe, Hebei
Print_ISBN :
978-1-4244-7506-3
Electronic_ISBN :
978-1-4244-7507-0
DOI :
10.1109/ICIE.2010.275