Title :
Process-centered knowledge model for continuous process improvement
Author :
Han, Kwan Hee ; Park, Jun Woo ; Jo, Young Hyo
Author_Institution :
Dept. of Ind. & Syst. Eng., Gyeongsang Nat. Univ., Jinju, South Korea
Abstract :
Since knowledge is created and utilized during the execution of business processes, knowledge itself separated from the business process context does not lead to the ability to take the right action towards target performance. Proposed in this paper is the framework of process-centered knowledge model for context-rich knowledge storage and retrieval during the task execution. Enterprise knowledge object of knowledge model is classified into two types: process knowledge and task support knowledge. In the enterprise ontology which represents major enterprise concepts and relationships among them, all domain concepts are related to ¿process¿ concept directly and indirectly. To show the applicability of the proposed framework, process-centered KMS was developed which is classified into 3 parts: 1) Project management sub-system based on process knowledge. 2) Knowledge management sub-system for maintaining task support knowledge. 3) Infrastructure sub-system which supports the above two sub-systems.
Keywords :
business process re-engineering; continuous improvement; knowledge management; ontologies (artificial intelligence); project management; business process context; business processes; context-rich knowledge storage; continuous process improvement; enterprise knowledge object; enterprise ontology; infrastructure subsystem; knowledge management subsystem; knowledge retrieval; process-centered knowledge model; project management subsystem; task execution; task support knowledge; Context awareness; Context modeling; Knowledge engineering; Knowledge management; Ontologies; Performance analysis; Profitability; Project management; Systems engineering and theory; Business process; business performance; enterprise ontology; knowledge management system (KMS);
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
DOI :
10.1109/IEEM.2008.4737829