Title :
The method of manufacturing knowledge management based on manufacturing resource capacity
Author :
Wang, Pei ; Tian, Xitian ; Geng, Junhao ; Feng Han
Author_Institution :
Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
In order to precisely describe manufacturing resource capability and complex relations among manufacturing resources as well as manage them effectively, a knowledge management method based on manufacturing resource capability was proposed. In this method, the manufacturing knowledge management framework based on knowledge transformation model was built, which demonstrated the flow process of manufacturing resource capability knowledge in enterprises. Based on this framework, meta-model was adopted to describe data structure of manufacturing resource capability, and ontology technology was used to build the manufacturing knowledge model in the activities of manufacturing knowledge management. Furthermore, in order to find manufacturing knowledge quickly and accurately in the manufacturing knowledge management framework, it was represented by combining metadata with ontology technology. Finally an example was carried out to validate the applicability and the effectiveness of the proposed method.
Keywords :
data structures; knowledge management; manufacturing systems; meta data; ontologies (artificial intelligence); data structure; knowledge transformation model; manufacturing knowledge management; manufacturing resource capacity; metadata; ontology technology; Knowledge management; Machine tools; Manufacturing processes; Ontologies; Pulp manufacturing; Resource management; Spirals; Technological innovation; Technology management; Virtual manufacturing; manufacturing knowledge management; manufacturing resource capability; meta-model; ontology;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477614