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Comparison Analysis of Multivariate Process Capability Indices

다변량 공정능력지수들의 비교분석

  • Moon, Hye-Jin (Department of Industrial and Management Engineering, Incheon National University) ;
  • Chung, Young-Bae (Department of Industrial and Management Engineering, Incheon National University)
  • 문혜진 (인천대학교 산업경영공학과) ;
  • 정영배 (인천대학교 산업경영공학과)
  • Received : 2019.01.15
  • Accepted : 2019.03.06
  • Published : 2019.03.31

Abstract

Recently, the manufacturing process system in the industrial field has become more and more complex and has been influenced by many and various factors. Moreover, these factors have the dependent correlation rather than independent of each other. Therefore, the statistical analysis has been extended from the univariate method to the multivariate method. The process capability indices have been widely used as statistical tools to assess the manufacturing process performance. Especially, the multivariate process indices need to be enhanced with more useful information and extensive application in the recent industrial fields. The various multivariate process capability indices have been studying by many researchers in recent years. Hence, the purpose of the study is to compare the useful and various multivariate process capability indices through the simulation. Among them, we compare the useful models of several multivariate process capability indices such as $MC_{pm}$, $MC^+_{pm}$ and $MC_{pl}$. These multivariate process capability indices are incorporates both the process variation and the process deviation from target or consider the expected loss caused by the process deviation from target. Through the computational examples, we compare these process capability indices and discuss their usefulness and effectiveness.

Keywords

References

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