Loose, Jean-Philippe, Zhou, Shiyu and Ceglarek, Darek. (2008) Variation source identification in manufacturing processes based on relational measurements of key product characteristics. Journal of Manufacturing Science and Engineering, Vol.130 (No.3). ISSN 1087-1357

Full text not available from this repository.

Abstract

Variation source identification for manufacturing processes is critical for product dimensional quality improvement, and various techniques have been developed in recent years. Most existing variation source identification techniques are based on a linear fault-quality model, in which the relationships between process faults and product dimensional quality measurements are linear. In practice, many dimensional measurements are actually nonlinearly related to the process faults: For example, relational dimension measurements such as the relative distance between features are used to monitor composite tolerances. This paper presents a variation source identification methodology in the presence of these relational dimension measurements. In the proposed methodology, the joint probability density of the measurements is determined as a function of the process parameters; then, series of statistical comparisons are performed to differentiate and identify the variation source. A case study is also presented to illustrate the effectiveness of the methodology.

Item Type:	Journal Article
Subjects:	T Technology > TS Manufactures
Divisions:	Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	Manufacturing processes -- Quality control
Journal or Publication Title:	Journal of Manufacturing Science and Engineering
Publisher:	A S M E International
ISSN:	1087-1357
Official Date:	June 2008
Volume:	Vol.130
Number:	No.3
Number of Pages:	11
Identification Number:	10.1115/1.2844591
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	National Science Foundation (U.S.) (NSF), National Institute of Standards and Technology (U.S.). Advanced Technology Program, Engineering and Physical Sciences Research Council (EPSRC)
Grant number:	CMMI-0529327 (NSF), CMMI-0322147 (NSF), NSF-DMII-0239244 (NSF), 70NANB3H3054 (NIST-ATP)
URI:	http://wrap.warwick.ac.uk/id/eprint/29715

Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Actions (login required)

View Item