Abstract
This paper describes a framework of an object-oriented system for design of process parameters. The shortcomings of models for design of process parameters are described, followed by the introduction of a general architecture of the proposed system. The system has a star topology, where the central node is a blackboard and all the surrounding nodes are design objects representing different design perspectives. Conflicts among different design objectives are resolved by numerical methods, fuzzy inference, or neural networks. In addition, the parameter design problem has been reduced to the inversion function problem, i.e., given a set of design objectives which can be represented by a set of simultaneous equations, it is desired to produce a set of design variables that satisfy all the constraints imposed by the equations. The paper concludes by summarizing the current research activities, and points out directions for future research to fully realize the proposed object-oriented framework for parameter design.
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