Machine learning and Design of Experiments: Alternative approaches or complementary methodologies for quality improvement?-Reference-Cited by-同舟云学术

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

Published:2020-02-17 Issue:6 Volume:36 Page:1837-1848
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Freiesleben Johannes¹^ORCID,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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2579

Reference35 articles.

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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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