Abstract
Focuses on the development and implementation of an expert system in a paper mill plant of a large Fortune 500 company. A noteworthy issue in the development of this expert system is the use of neural network technology to decrease the number of rules needed and to improve the efficiency of the decision‐making process. Outlines problems that occurred in development and implementation along with remedies used by the company. In addition, gives benefits that the company enjoyed from the expert system. Finally, provides guidelines, drawn from experience, for other companies that are interested in expert system development.
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