Multivariate Process Capability Index Using Inverted Normal Loss Function

• 발행기관: 한국산업경영시스템학회
• 저자명: Hye-Jin Moon(문혜진) Young-Bae Chung(정영배)
• 간행물 정보: 『산업경영시스템학회지』제41권 제2호, 174~183쪽, 전체 10쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2018.06.30

영문 초록

In the industrial fields, the process capability index has been using to evaluate the variation of quality in the process. The traditional process capability indices such as Cp, Cpk,Cpm and have been applied in the industrial fields. These traditional process capability indices are mainly applied in the univariate analysis. However, the main streams in the recent industry are the multivariate manufacturing process and the multiple quality characteristics are corrected each other. Therefore, the multivariate statistical method should be used in the process capability analysis. The multivariate process indices need to be enhanced with more useful information and extensive application in the recent industrial fields. Hence, the purpose of the study is to develop a more effective multivariate process index (？？？？MC ) using the multivariate inverted normal loss function. The multivariate inverted normal loss function has the flexibility for the any type of the symmetrical and asymmetrical loss functions as well as the economic information. Especially, the proposed modeling method for the multivariate inverted normal loss function (MINLF) and the expected loss from MINLF in this paper can be applied to the any type of the symmetrical and asymmetrical loss functions. And this modeling method can be easily expanded from a bivariate case to a multivariate case.

목차

1. 서 론

2. 이론적 배경

3. 연구모형

4. 수치 예

5. 결 론

키워드

Multivariate Process Capability Index Multivariate Analysis Inverted Normal Loss Function