Predictive Quality: Towards a New Understanding of Quality Assurance Using Machine Learning Tools-Reference-Cited by-同舟云学术

Predictive Quality: Towards a New Understanding of Quality Assurance Using Machine Learning Tools

Published:2018 Issue: Volume: Page:30-42
ISSN:1865-1348
Container-title:Business Information Systems
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Author:

Nalbach Oliver,Linn Christian,Derouet Maximilian,Werth Dirk

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-93931-5_3

Reference18 articles.

1. FMEA - Fehlermöglichkeits- und Einflussanalyse. Whitepaper, Deutsche Gesellschaft für Qualität (2012)

2. Morlock, S.: Qualitätsgesicherte Produktentwicklung in der Bekleidungsindustrie (2013). https://www.hohenstein.de/de/inline/pressrelease_45248.xhtml?excludeId=45248

3. Harding, J.A., Shahbaz, M., Srinivas, S., Kusiak, A.: Data mining in manufacturing: a review. Manuf. Sci. Eng. 128, 969–976 (2006)

4. Veronesi, L., Kifonti, R., Cattaneo, G.M.: Data-driven innovation in the manufacturing industry. Eur. Data Market Study (2014)

5. Stamatis, D.H.: Failure Mode and Effect Analysis: FMEA from Theory to Execution. ASQ Quality Press, Milwaukee (2003)

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