Article ID Journal Published Year Pages File Type
384732 Expert Systems with Applications 2009 8 Pages PDF
Abstract

In this paper, production control of an actual industrial semiconductor packaging assembly line is studied. An evolutionary optimization methodology is developed to synthesize decision support systems for providing both crisp-logic and fuzzy-logic production control for the assembly line. The performance of such decision support systems is compared with that of the system originally implemented by the manufacturer. It is thus demonstrated that the proposed evolutionary methodology is effective in synthesizing decision support systems for both crisp-logic and fuzzy-logic control of the semiconductor packaging assembly production. It indicates that the proposed methodology can also synthesize decision support systems for productivity improvement in other complex manufacturing environment.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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