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

양산공정의 지속적 품질개선을 위한 Evolutionary Optimizer의 시스템 설계

  • 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)
  • 이창권 (코스맥스(주)) ;
  • 변재현 (경상대학교 산업시스템공학부) ;
  • 도남철 (경상대학교산업시스템공학부)
  • Received : 20050700
  • Accepted : 20051000
  • Published : 2005.12.31

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

References

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