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A System Design of Evolutionary Optimizer for Continuous Improvement of Full-Scale Manufacturing Processes  

Rhee, Chang-Kwon (Production Operations Team, Cosmax Co)
Byun, Jai-Hyun (Department of Industrial and System Engineering and Engineering Research Institute, Gyeongsang National University)
Do, Nam-Chul (Department of Industrial and System Engineering and Engineering Research Institute, Gyeongsang National University)
Publication Information
IE interfaces / v.18, no.4, 2005 , pp. 465-476 More about this Journal
Abstract
Evolutionary operation is a useful tool for improving full-scale manufacturing process by systematically changing the levels of the process variables without jeopardizing the product. This paper presents a system design for the evolutionary operation software called 'evolutionary optimizer'. Evolutionary optimizer consists of four modules: factorial design, many variables, mixture, and mean/dispersion. Context diagram, data flow diagram and entity-relationship modelling are used to systematically design the evolutionary optimizer system.
Keywords
evolutionary operation; evolutionary optimizer; system analysis and design; factorial design; many variables; mixture process; mean and dispersion;
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