Statistical engineering-forming the foundations

Christine M. Anderson-Cook, Lu Lu, Gordon Clark, Stephanie P. Dehart, Roger Hoerl, Bradley Jones, R. Jock MacKay, Douglas Montgomery, Peter A. Parker, James Simpson, Ronald Snee, Stefan H. Steiner, Jennifer Van Mullekom, G. Geoff Vining, Alyson G. Wilson

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

A panel of prominent experts, who represent many different areas of academia, research, and industry, answered a series of questions about the present and future of Statistical engineering (SE). The experts talked on a new formal definition of SE that encompasses the integration of statistical thinking with the application of statistical methods and tools and has the potential to provide the missing tactical link that will drive proper application of statistical methods based on solid understanding of statistical thinking principles. It was highlighted that breaking down barriers among economics, engineering, science, and information technology is critical to solving the problems that require SE. The members also discussed the successful applications of 'Lean Six Sigma' with the define measure analyze improve control (DMAIC) structure as tangible examples of SE in practice.

Original languageEnglish (US)
Pages (from-to)110-132
Number of pages23
JournalQuality Engineering
Volume24
Issue number2
DOIs
StatePublished - Apr 1 2012

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering

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