IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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Process Planning Method under Make-to-Order Production System using Data Mining

데이터마이닝을 이용한 수주생산시스템의 공정계획방안

  • 오경모 (제론정보기술(주)) ;
  • 박창권 (울산대학교 산업정보경영공학부)
  • Received : 2004.12.29
  • Accepted : 2005.05.13
  • Published : 2005.06.30
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Abstract

The manufacturing industry with Make-to-Order production system is difficult to decide the standard information for the product and the demand is variable to estimate. In this paper, we concerned with the process planning method using data mining in the manufacturing industry with Make-to-Order environment. The subject of our study is the industry transformer plant which is received an diverse order of customer and then produced the product. Currently, process planning method is classified the standard information by hand based on the acquired knowledge through the experience. The standard information stored the various information, such as work sequence, time and so on. This process planning method needs an experts which possesses the field experience for several years. For the product specification which is varied in each order, current process planning method is not efficient due to need many times To solve this problem, we extract the information using data mining process for each processing time, and then construct the knowledge base. We propose a method which is the process planning of the industry transformer product in Make-to-Order environment using the knowledge base.

Keywords

References

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