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Applying Six Sigma process yield index to develop confidence interval-based fuzzy testing model

delete2025-12-09
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PRE
AI
C
Chun-Min Yu
H
Hing Kai Chan
K
Kuen‐Suan Chen *
DOI:10.1007/s10479-025-06662-0delete
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Abstract

Abstract

En 中文
Six Sigma indices are widely used in the manufacturing industry for quality assessment, analysis, and improvement. The Six Sigma quality index and the Six Sigma Taguchi index can simultaneously reflect quality levels as well as process capability. However, although process yield is a key factor of process quality, neither the Six Sigma quality nor Taguchi indices have a one-to-one mathematical relationship with process yield. Therefore, process yield must be assessed separately. This paper thus proposes a Six Sigma process yield index, which not only reflects the process quality level and degree of process capability but also has a one-to-one mathematical relationship with process yield. In addition to discussing characteristics of the proposed index, we make statistical inferences and provide an evaluation model for industrial use.
Keywords:
Six Sigma quality level
Process capability
Process yield
Six Sigma process yield index
Process quality

Journal

Annals of Operations Research cover
Annals of Operations Research
IF:
4.5
Papers:
8.0K
Citations:
2.1W

Organization

D
department of industrial engineering and management
Scholars:
96
Papers: 59
Citations: 1
C
College of Business and Public Management
Scholars:
11
Papers: 11
Citations: 0