A retrospective view of statistical quality control research and identification of emerging trends: a bibliometric analysis

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Publication Details

Author list: Veiga P, Mendes L, Lourenco L
Publisher: Springer Verlag (Germany)
Publication year: 2016
Volume number: 50
Issue number: 2
Start page: 673
End page: 692
Number of pages: 20
ISSN: 0033-5177
Languages: English-Great Britain (EN-GB)


Abstract

This study aims to identify the fundamental contributions on applications of statistical methods in the area of quality and process control, determining lines of research and statistical methods forming the dominant intellectual structure, evolution over time and identifying future tendencies and relationships between the most relevant themes. A quantitative approach linked to bibliometric analysis was used, based on research made in the Thomson/Reuters-ISI online database. Among the main results, it stands out that the importance of statistical applications applied to process and quality control continues to grow. The contributions with greatest impact are related to principal component analysis and multivariate analysis as well as in the area of clinical assessment. Besides multivariate analysis, the dominant techniques are control charts, use of data-mining tools and autocorrelation/time series.


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Last updated on 2019-23-08 at 11:15