Machine learning and Design of Experiments: Alternative approaches or complementary methodologies for quality improvement?

Author:

Freiesleben Johannes1ORCID,Keim Jan1,Grutsch Markus1

Affiliation:

1. University of Applied Sciences St. Gallen Institute for Quality Management and Business Administration Rosenbergstrasse 59 St. Gallen Switzerland

Funder

FHS St. Gallen University of Applied Sciences

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference35 articles.

1. Athey S. 2018.Why business leaders shouldn't have blind faith in AI.Stanford University Business Insights.Posted onwww.gsb.stanford.edu/insightson May 23rd 2018 (last accessed on Aug 8th 2018).

2. Working and organizing in the age of the learning algorithm

3. A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution

4. Bisgaard S. 1988.The quality detective: a case study.CQPI Reportno. 32 University of Wisconsin‐Madison.

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