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Quality quandaries: The application of principal component analysis for process monitoring
Isenberg School of Management, University of Massachusetts Amherst, Eugene M. Isenberg School of Management, University of Massachusetts Amherst.
Department of Industrial Engineering, Arizona State University, Tempe.ORCID iD: 0000-0003-4222-9631
2006 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 18, no 1, p. 95-103Article in journal (Refereed) Published
Abstract [en]

An overview of graphical techniques that are useful when dealing with process monitoring is given. Focus is on contemporaneous correlation. Specifically, principal component analysis (PCA), a method akin to a Pareto analysis is demonstrated. The geometry of PCA to enhance intuition is described.
Place, publisher, year, edition, pages
2006. Vol. 18, no 1, p. 95-103
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-4840DOI: 10.1080/08982110500403565Scopus ID: 2-s2.0-29544451853Local ID: 2d5fcdd1-a850-4beb-8970-632ffa31b6d6OAI: oai:DiVA.org:ltu-4840DiVA, id: diva2:977714
Note
Upprättat; 2006; 20150603 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2022-11-08Bibliographically approved

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Kulahci, Murat

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