Abstract
This paper describes the need for and the design of, a knowledge based process diagnostic system. A prototype system is implemented using Intellicorp's Knowledge Engineering Environment (KEE). The system is being implemented at a planned new assembly plant.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Cahill, C. and Demers, A. (1987) Using knowledge technology to gain a competitive advantage in manufacturing through predictive control, inProceedings of Expert systems and the leading edge in production planning and control, South Carolina, pp. 293–311.
Evans, J. R. and Lindsay, W. M. (1987) Expert systems for statistical quality control, inProceedings of the World Productivity Forum and International Industrial Engineering Conference, Georgia, pp. 567–72.
Folley, J. D. and Hritz, R. J. (1987) Embedded AI expert system trouble shoots automated assembly.Industrial Engineering,April, 32–6.
Milne, R. (1987) Strategies for diagnosis.IEEE Transactions on Systems, Man, and Cybernetics,SMC-17, 333–9.
Parks, M. W. (1987) Expert systems: fill in the missing link in paperless aircraft assembly.Industrial Engineering.January, 37–45.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Alexander, S.M., Menon, R. The design of a knowledge based process diagnostic system. J Intell Manuf 1, 193–197 (1990). https://doi.org/10.1007/BF01572638
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF01572638