IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v50y2016i2p673-692.html
   My bibliography  Save this article

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

Author

Listed:
  • Pedro Veiga
  • Luis Mendes
  • Luis Lourenço

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. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Pedro Veiga & Luis Mendes & Luis Lourenço, 2016. "A retrospective view of statistical quality control research and identification of emerging trends: a bibliometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 673-692, March.
    • Handle: RePEc:spr:qualqt:v:50:y:2016:i:2:p:673-692
    DOI: 10.1007/s11135-015-0170-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-015-0170-8
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-015-0170-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anton J. Nederhof, 2006. "Bibliometric monitoring of research performance in the Social Sciences and the Humanities: A Review," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 81-100, January.
    2. Wu, Chien-Wei & Pearn, W.L. & Kotz, Samuel, 2009. "An overview of theory and practice on process capability indices for quality assurance," International Journal of Production Economics, Elsevier, vol. 117(2), pages 338-359, February.
    3. Bersimis, Sotiris & Psarakis, Stelios & Panaretos, John, 2006. "Multivariate Statistical Process Control Charts: An Overview," MPRA Paper 6399, University Library of Munich, Germany.
    4. Donald McTavish & Ellen Pirro, 1990. "Contextual content analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 24(3), pages 245-265, August.
    5. Douglas Montgomery, 2001. "Opportunities and challenges for industrial statisticians," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(3-4), pages 427-439.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Chien-Wei, 2012. "An efficient inspection scheme for variables based on Taguchi capability index," European Journal of Operational Research, Elsevier, vol. 223(1), pages 116-122.
    2. Ramón A. Feenstra & Emilio Delgado López-Cózar, 2022. "Philosophers’ appraisals of bibliometric indicators and their use in evaluation: from recognition to knee-jerk rejection," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2085-2103, April.
    3. Walters, William H., 2017. "Do subjective journal ratings represent whole journals or typical articles? Unweighted or weighted citation impact?," Journal of Informetrics, Elsevier, vol. 11(3), pages 730-744.
    4. Molly C. Klanderman & Kathryn B. Newhart & Tzahi Y. Cath & Amanda S. Hering, 2020. "Fault isolation for a complex decentralized waste water treatment facility," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 931-951, August.
    5. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    6. Zoltán Krajcsák, 2021. "Researcher Performance in Scopus Articles ( RPSA ) as a New Scientometric Model of Scientific Output: Tested in Business Area of V4 Countries," Publications, MDPI, vol. 9(4), pages 1-23, October.
    7. Chien-Wei Wu & Ming-Hung Shu & Pei-An Wang & Bi-Min Hsu, 2021. "Variables skip-lot sampling plans on the basis of process capability index for products with a low fraction of defectives," Computational Statistics, Springer, vol. 36(2), pages 1391-1413, June.
    8. Qing Ji & Xiaoping Pang & Xi Zhao, 2014. "A bibliometric analysis of research on Antarctica during 1993–2012," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1925-1939, December.
    9. Ülle Must, 2012. "Alone or together: examples from history research," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 527-537, May.
    10. Gérard Charreaux, 2011. "«Cité ou oublié»:les supports de la notoriété des professeurs en sciences de gestion vus à travers Google Scholar," Revue Finance Contrôle Stratégie, revues.org, vol. 14(4), pages 129-166, December.
    11. Franc Mali, 2013. "Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community," Social Sciences, MDPI, vol. 2(4), pages 1-14, December.
    12. Peruchi, Rogério Santana & Balestrassi, Pedro Paulo & de Paiva, Anderson Paulo & Ferreira, João Roberto & de Santana Carmelossi, Michele, 2013. "A new multivariate gage R&R method for correlated characteristics," International Journal of Production Economics, Elsevier, vol. 144(1), pages 301-315.
    13. Jordi Ardanuy & Llorenç Arguimbau & Ángel Borrego, 2022. "Social sciences and humanities research funded under the European Union Sixth Framework Programme (2002–2006): a long-term assessment of projects, acknowledgements and publications," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    14. Linus Schiöler & Marianne Fris�n, 2012. "Multivariate outbreak detection," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(2), pages 223-242, April.
    15. Siluo Yang & Xin Xing & Fan Qi & Maria Cláudia Cabrini Grácio, 2021. "Comparison of academic book impact from a disciplinary perspective: an analysis of citations and altmetric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1101-1123, February.
    16. Milojević, Staša & Sugimoto, Cassidy R. & Larivière, Vincent & Thelwall, Mike & Ding, Ying, 2014. "The role of handbooks in knowledge creation and diffusion: A case of science and technology studies," Journal of Informetrics, Elsevier, vol. 8(3), pages 693-709.
    17. Li, Der-Chiang & Lin, Liang-Sian, 2013. "A new approach to assess product lifetime performance for small data sets," European Journal of Operational Research, Elsevier, vol. 230(2), pages 290-298.
    18. Alasdair Reid, 2023. "Closing the Affordable Housing Gap: Identifying the Barriers Hindering the Sustainable Design and Construction of Affordable Homes," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    19. Lourdes Diaz Olvera & Didier Plat & Pascal Pochet, 2020. "Looking for the obvious: motorcycle taxi services in Sub-Saharan African cities," Post-Print halshs-02182855, HAL.
    20. Xu, Xin, 2021. "A policy trajectory analysis of the internationalisation of Chinese humanities and social sciences research (1978–2020)," International Journal of Educational Development, Elsevier, vol. 84(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:50:y:2016:i:2:p:673-692. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.