Abstract
This chapter relates aspects of applied artificial intelligence (AI), in the form of expert or knowledge based systems, to economic justification of advanced manufacturing systems. In keeping with the theme of the book, we focus on the general task of venture justification. However, the approach taken extends beyond the scope of venture justification applications and addresses some fundamentals and capabilities pertinent to all expert system applications. This breadth of discussion is necessary in demonstrating clearly what expert systems technology can do versus what it is reported to have done.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baldwin, D. and Kasper, G.M. (1986) Toward representing management-domain knowledge. Decision Support Systems, 2 (2).
Dhar, Vasant (1987) On the plausibility and scope of expert systems in manage-ment. Journal of Management Information Systems, 4 (1), 25–41.
Hayes-Roth, F., Waterman, D.A. and Lenat, D.B. (eds.) (1983) Building Expert Systems, Addison-Wesley, Reading, Massachusetts.
LeClair, S.R. (1985) A Multiexpert Knowledge System Architecture for Manufacturing decision Analysis, Ph.D. Thesis, Arizona State University, Tempe, Arizona.
Liebowitz, J. (1989) Structuring Expert Systems: Domain Design and Development, Prentice-Hall, Englewood Cliffs, New Jersey.
Quinlan, J.R. (1985) Induction of Decision Trees, Technical Report 85.6, The New South Wales Institute of Technology Report Series.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Henghold, W.M., LeClair, S.R. (1992). Expert Systems Applied to the Economic Justification of Advanced Manufacturing Systems. In: Parsaei, H.R., Mital, A. (eds) Economics of Advanced Manufacturing Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3480-8_2
Download citation
DOI: https://doi.org/10.1007/978-1-4615-3480-8_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6542-6
Online ISBN: 978-1-4615-3480-8
eBook Packages: Springer Book Archive