Abstract
Knowledge-based techniques has been applied to many fields, including the design and management of manufacturing systems. This paper emphasizes on how to build a knowledge-based system (KBGAS) by the use of XPLAIN programming tool, for group analysis in automated manufacturing systems. Clustering algorithm follows Kusiak's method. This approach is suitable for integrating models and algorithms which have been developed in production engineering with a knowledge based system. The particular system (KBGAS) provides a user-friendly interface and can be operated without any special computer knowledge or knowledge of artificial intelligence.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Anderberg, M. D. (1973). Cluster analysis for application, Academic Press, New York.
Bratli, A., Engh, E. and Rostadsand, P. A., The use of computer system for generation of welding procedures and quality control in fabrication of offshore structures and pipework, Proceedings of EUROJIN 1 (First European Conference on Joining Technology), Strasbourg, France, pp. 103–112, 1991.
Brooks R. A., Programming in common LISP, John wiley & sons, New York, 1985.
Burbidge, J.L., Production Flow analysis, Clarenden Press, Oxford, 1989.
Engh, E., SIMWELD — a system for cost simulation, Proceeding of EUROJIN 1, Strasbourg, France, pp. 35–41, 1991.
Falster, P., Structural techniques for the design of production systems, Advances in production management system, North-Holland, pp 23–42, 1986.
Harhalakis G., Ioannis M. and Rakesh N. Development and application of knowledge based system for cellar manufacturing, Proceedings of the third international conference expert systems and leading edge in production and operations management, Columbia, USA, pp. 343–355, 1989.
Kusiak A., A knowledge based system for group technology. International journal of production research, vol. 26, no. 5, pp. 887–904.
Lassila, O., Knowledge-based algorithm for group analysis, Advances in production management systems, Elsevier science publishers B. V. (North-Holland), IFIP, pp. 507–513, 1991.
Mykiebust, o., Knowledge-based process planning with object oriented implementation, Complex machining and AI-methods, NORTH-HOLLAND, pp. 49–58, 1991.
Rajagopalan R. and Batra J. L., Design of cellular production systems — A graph-theoretic approach. International journal of production research, vol. 13, no. 6, pp. 567–579, 1975.
Romstad, A., User requirement specification for the process planning supervisor, version 2, SINTEF, 1990.
Shambu, G, Ramaswamy, R. and Rao H. R., A rule-based system for scheduling in a hybrid group technology environment, Proceedings of the third international conference expert systems and leading edge in production and operations management, Columbia, USA, pp. 357–367, 1989.
Spur, G. and Specht, D, “Knowledge-based diagnosis in manufacturing systems”, Manufacturing Systems, Vol. 19, No. 2, 1990.
Wold, P., Experience from development and implementation of QCWELD — A computer-aided NDT planning, documentation and inspection system, Proceedings of EUROJIN 1, Strasbourg, France, pp. 215–226, 1991.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, K. (1993). A knowledge-Based approach to group analysis in automated manufacturing systems. In: Komorowski, J., Raś, Z.W. (eds) Methodologies for Intelligent Systems. ISMIS 1993. Lecture Notes in Computer Science, vol 689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56804-2_54
Download citation
DOI: https://doi.org/10.1007/3-540-56804-2_54
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-56804-9
Online ISBN: 978-3-540-47750-1
eBook Packages: Springer Book Archive