The Application of Genetic Algorithm to the Economic-Statistical Design of Control Chart

• Main Authors: Hurng-Herng Tang, 唐弘衡
• Other Authors: Cheng-Sheng Cheng
• Format: Others
• Language: zh-TW
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/99145901493145612896

碩士 === 元智大學 === 工業工程研究所 === 87 === There are two designs of control chart, including economic pattern and statistical pattern. Due to the conflicts between the economic pattern and the statistical pattern, therefore researchers advise to develop the control chart with economic and statistical pattern. In the research about best parameter design of control charts involved complex mathematics formulas, and researchers work it out in approximate way. In this research, we use genetic algorithm in the control chart with economic and statistical pattern. For get the high quality solution Taguchi''s design experiment is employed to determine some important parameters of genetic algorithm. We also improve that the best combination of genetic parameter''s level can used in different kind of control chart. In this research, we build the control chart with economic and statistical pattern considers warning limit and use genetic algorithm to solve it. The result shows that the genetic algorithm performs as well as or better than traditional methods.