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Opportunities and challenges for industrial statisticians

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  • Douglas Montgomery

Abstract

The last 20 years have seen significant advances in the use of statistical methodology in industry, with applications in new product design and development, optimization and control of manufacturing processes, and in the service industries. The field of industrial statistics has emerged as an important branch of statistical science that focuses on this application environment. Yet as applications of statistics in industry have expanded, creating many new opportunities for the modern industrial statistician, many new challenges have arisen. Some of these challenges are technical, while others have managerial and organizational aspects. There are also important concerns pertaining to training and education. This presentation focuses on some of these issues, and identifies some potential solutions.

Suggested Citation

  • Douglas Montgomery, 2001. "Opportunities and challenges for industrial statisticians," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(3-4), pages 427-439.
    • Handle: RePEc:taf:japsta:v:28:y:2001:i:3-4:p:427-439
    DOI: 10.1080/02664760120034153
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    References listed on IDEAS

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    1. John F. MacGregor, 1997. "Using On‐Line Process Data to Improve Quality: Challenges for Statisticians," International Statistical Review, International Statistical Institute, vol. 65(3), pages 309-323, December.
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    Cited by:

    1. 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.

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