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

Article de journal

Auteurs / Editeurs

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Détails sur la publication

Liste des auteurs: Veiga P, Mendes L, Lourenco L
Editeur: Springer Verlag (Germany)
Année de publication: 2016
Numéro du volume: 50
Numéro de publication: 2
Page d'accueil: 673
Dernière page: 692
Nombre de pages: 20
ISSN: 0033-5177
Languages: Anglais-Royaume-Uni (EN-GB)


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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