Incorporating process capability index and quality loss function into analyzing the process capability for qualitative data

Kun Lin Hsieh*, Lee-Ing Tong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Process capability analysis (PCA) is frequently employed to evaluate a product or a process if it can meet the customer's requirement. In general, process capability analysis can be represented by using the process capability index (PCI). Until now, the PCI was frequently used for processes with quantitative characteristics. However, for process quality with the qualitative characteristic, the data's type and single specification caused limitations of using the PCI. When the product can not meet the target, even if it lies in the specified range, it should lead to the corresponding quality loss. Taguchi developed a quadratic quality loss function (QLF) to address such issues. In this study, we intend to construct a measurable index which incorporates the PCI philosophy and QLF concept to analyze the process capability with the consideration of the qualitative response data. The manufacturers can not only employ the proposed index to self-assess the process capability, but they also can make comparisons with the other competitors .

Original languageEnglish
Pages (from-to)1217-1222
Number of pages6
JournalInternational Journal of Advanced Manufacturing Technology
Volume27
Issue number11-12
DOIs
StatePublished - 1 Feb 2006

Keywords

  • Process capability analysis (PCA)
  • Process capability indexes (PCIs)
  • Qualitative data
  • Quality loss function (QLF).

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