Abstract
Industrial Statistics has been intimately linked with Quality and the Quality Revolution. There are very good historical reasons for this, but caution is indicated; there has recently been a strong backlash against the Quality movement, often because Quality concepts have been misunderstood and misapplied. For example, the measurement component of major Quality awards is usually the worst handled. Deep mastery of variation has failed to take root.
The criteria for the Australian Quality Awards are analysed to provide a template for the creative application of Statistics to learning and to the creation, codification, sharing and deployment of knowledge. This process is intimately linked to innovation, which is increasingly seen as a crucial factor in industrial wealth creation.
The current Industrial Statistics paradigm is critically examined and a program for the re-invention of Industrial Statistics is suggested. The program is based on linkages with product and process innovation, and with technology strategies.
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References
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© 1998 Springer Science+Business Media New York
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Sandland, R.L. (1998). Industrial Statistics and Innovation. In: Abraham, B. (eds) Quality Improvement Through Statistical Methods. Statistics for Industry and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1776-3_2
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DOI: https://doi.org/10.1007/978-1-4612-1776-3_2
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7277-9
Online ISBN: 978-1-4612-1776-3
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