A process integrated engineering knowledge acquisition and management model for a project based manufacturing
- 164 Downloads
This paper suggests a model for collecting, managing and utilizing engineering outputs integrated with product life-cycle process of project-based industry. Project output acquisition is designed to collect outputs without additional efforts at the time outputs are registered accordingly with the project schedule. Once revision is occurred in the project period, the revision is designed to be transferred to the corresponding process by using ECO (Engineering Change Order) process. To increase usability of the outputs as enterprise knowledge, accumulated outputs are managed and stored by applying multiple classifications from perspectives of process activity, contents, and enterprise knowledge management during accumulation process is carrying out. As a result of applying the suggest system in electric transformer EPC project performing concurrent-multiple project, usability and a degree of accumulating outputs that includes revision history and process accuracy are improved compared to previously used PDM (Product Data Management) system. Although this research is focused on collecting and acquiring project outputs, business process knowledge is supposed to be considered as a significant knowledge content of industries. There has been a research to attach procedure of collecting and acquiring process knowledge into a framework for future.
KeywordsProcess integrated knowledge acquisition Engineering knowledge management Project output management Project based design and manufacturing
Unable to display preview. Download preview PDF.
- 3.Chang, M.-Y., Hung, Y.-C., Yen, D. C., and Tseng, P. T., “The Research on the Critical Success Factors of Knowledge Management and Classification Framework Project in the Executive Yuan of Taiwan Government,” Expert Systems with Applications, Vol. 36, No. 3, pp. 5376–5386, 2009.CrossRefGoogle Scholar
- 4.Franz, M., Schweitzer, J., and Korslund, L., “Project Management with SAP Project System,” Galileo Press, 2010.Google Scholar
- 5.Han, K. H. and Kang, J. G., “A Process-based Performance Measurement Framework for Continuous Process Improvement,” International Journal of Industrial Engineering-Theory Applications and Practice, Vol. 14, No. 3, pp. 220–228, 2007.Google Scholar
- 7.Hou, J., Su, C., Zhu, L., and Wang, W., “Integration of the CAD/PDM/ERP System based on Collaborative Design,” Proc. of ISECS International Colloquium on Computing, Communication, Control, and Management, pp. 561–566, 2008.Google Scholar
- 8.Jablonski, S., Horn, S., and Schlundt, M., “Process Oriented Knowledge Management,” Proc. of the 11th International Workshop on Research Issues in Data Engineering, pp. 77–84, 2001.Google Scholar
- 14.Li, F., Gilz, T., Steinhauer, M., Vogel-Heuser, B., Eigner, M., and Shea, K., “Supporting the Multi-Domain Plant Engineering Process using Engineering Knowledge from Formalized Model-based Libraries,” Proc. of International Conference on Production Research (ICPR), Stuttgart, 2011.Google Scholar
- 17.Papavassiliou, G., Mentzas, G., and Abecker, A., “Integrating Knowledge Modelling in Business Process Management,” Proc. of European Conference on Information Systems, pp. 851–861, 2002.Google Scholar