의사결정나무와 손실함수를 이용한 공정파라미터 허용차 설계에 관한 연구

• 영문명: A Study on the Design of Tolerance for Process Parameter using Decision Tree and Loss Function
• 발행기관: 한국산업경영시스템학회
• 저자명: 김용준(Yong Jun Kim) 정영배(Young Bae Chung)
• 간행물 정보: 『산업경영시스템학회지』제39권 제1호, 123~129쪽, 전체 7쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2016.03.30

영문 초록

In the manufacturing industry fields, thousands of quality characteristics are measured in a day because the systems of process have been automated through the development of computer and improvement of techniques. Also, the process has been monitored in database in real time. Particularly, the data in the design step of the process have contributed to the product that customers have required through getting useful information from the data and reflecting them to the design of product. In this study, first, characteristics and variables affecting to them in the data of the design step of the process were analyzed by decision tree to find out the relation between explanatory and target variables. Second, the tolerance of continuous variables influencing on the target variable primarily was shown by the application of algorithm of decision tree, C4.5. Finally, the target variable, loss, was calculated by a loss function of Taguchi and analyzed. In this paper, the general method that the value of continuous explanatory variables has been used intactly not to be transformed to the discrete value and new method that the value of continuous explanatory variables was divided into 3 categories were compared. As a result, first, the tolerance obtained from the new method was more effective in decreasing the target variable, loss, than general method. In addition, the tolerance levels for the continuous explanatory variables to be chosen of the major variables were calculated. In further research, a systematic method using decision tree of data mining needs to be developed in order to categorize continuous variables under various scenarios of loss function.

목차

Abstract

1. 서론

2. 이론적 배경

3. 연구 설계

4. 수치 예제

5. 결론

References

키워드

Continuous Variable Decision Tree Loss Function Tolerance