Design of experiments: A key to successful innovation

Douglas Montgomery, Rachel T. Silvestrini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Does the use of statistical methodology such as design of experiments stifle innovation? This is an important theme in this paper. Design of experiments is viewed as part of a process for enabling both breakthrough innovation and incremental innovation, without which western society will fail to be competitive. Quality engineering technology in general is part of a broader approach to innovation and business improvement called statistical engineering. The most powerful statistical technique in statistical engineering is design of experiments. Several important developments in this field are reviewed, the role of designed experiments in innovation examined, and new developments and applications of the methods discussed.

Original languageEnglish (US)
Title of host publicationIntelligent Statistical Quality Control
PublisherHelmut Schmidt University
Pages65-76
Number of pages12
StatePublished - 2016
Event12th International Workshop on Intelligent Statistical Quality Control, IWISQC 2016 - Hamburg, Germany
Duration: Aug 16 2016Aug 19 2016

Other

Other12th International Workshop on Intelligent Statistical Quality Control, IWISQC 2016
CountryGermany
CityHamburg
Period8/16/168/19/16

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Montgomery, D., & Silvestrini, R. T. (2016). Design of experiments: A key to successful innovation. In Intelligent Statistical Quality Control (pp. 65-76). Helmut Schmidt University.