Title :
A multi-agent and case-based reasoning framework for knowledge sharing in supply chain
Author :
Wu, Lihua ; Zang, Yujie
Author_Institution :
Sch. of Inf. Manage., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
Focusing on the specific properties of knowledge sharing in supply chain, this paper explores a framework that integrates the multi-agent and case-based reasoning techniques to support the dynamic and problem-oriented knowledge sharing among supply chain members. The framework is characterized by differential knowledge sharing levels related to supply chain partnership as well as the knowledge creation and reuse based on the previous knowledge in supply chain. It provides a new tool for the field of inter-organizational knowledge management.
Keywords :
case-based reasoning; knowledge management; multi-agent systems; supply chain management; case-based reasoning; interorganizational knowledge management; knowledge creation; knowledge reuse; multiagent framework; problem-oriented knowledge sharing; supply chain; Acceleration; Collaborative work; Information management; Information science; Knowledge management; Multiagent systems; Problem-solving; Software agents; Supply chain management; Supply chains; case-based reasoning; knowledge sharing; multi-agent; supply chain management;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5358105
