A novel evaluation model for measurement system analysis

Mingnan Chen, Jrjung Lyu

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Six-Sigma management has been considered as a powerful business strategy that employs a well-structured continuous improvement methodology to reduce process variability and to raise quality within the business process effectively using statistical tools and techniques. Many quality improvement programs employ measurement system analysis (MSA) in measure step of Six-Sigma to ensure the reliability of measurement results, which are the basis for decisions regarding the behaviour of critical quality characteristics. The repeatability and reproducibility (RR) study is an important approach for evaluating the precision of MSA. Although many measurement capability studies exist and are common in industry, few have discussed cases with attribute data, especially on the case related to two or more related quality characteristics simultaneously. This study presents a novel model for evaluating RR variance for bivariate attribute data. An example is utilised to illustrate the application process of the proposed model. The proposed model is illustrated to be capable to assess and to improve measurement systems with bivariate attribute data.

Original languageEnglish
Pages (from-to)420-430
Number of pages11
JournalProduction Planning and Control
Volume20
Issue number5
DOIs
Publication statusPublished - 2009 Jul 1

Fingerprint

Systems analysis
Industry
Measurement system
Evaluation model
Quality characteristics
Six Sigma
Six sigma
Business process
Quality improvement
Business strategy
Continuous improvement
Methodology

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

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A novel evaluation model for measurement system analysis. / Chen, Mingnan; Lyu, Jrjung.

In: Production Planning and Control, Vol. 20, No. 5, 01.07.2009, p. 420-430.

Research output: Contribution to journalArticle

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