Using ant algorithm to build an intelligent system for manufacturing industry

Chia Chen Chen*, An-Pin Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In the semiconductor manufacturing industries, data mining system could be integrated with computer integrated manufacturing system in order to analyze the data of the real situation of the manufacturing process. This paper proposed a method and prototype system architecture, which integrated data mining technology and process control with CIM system. We compared the Ant Colony Clustering Algorithm with decision tree as the data mining, and used advanced process control as process control mechanism. The result of this paper shows that the process yield rate can be improved, through the use of automatic and optimum parameter manufacturing. The proposed method and system architecture can be applied in the process analysis of traditional manufacturing industry.

Original languageEnglish
Pages (from-to)941-946
Number of pages6
JournalWSEAS Transactions on Computers
Volume6
Issue number6
StatePublished - 1 Jun 2007

Keywords

  • Advanced process control
  • Ant colony clustering algorithm
  • Computer integrated manufacturing
  • Data mining
  • Manufacturing industry

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