Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Pearn, W. L. | en_US |
dc.contributor.author | Wu, C. H. | en_US |
dc.date.accessioned | 2014-12-08T15:24:05Z | - |
dc.date.available | 2014-12-08T15:24:05Z | - |
dc.date.issued | 2012-07-01 | en_US |
dc.identifier.issn | 0090-3973 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/16760 | - |
dc.description.abstract | "Process yield has been the most common criterion used in the manufacturing industry for measuring process performance. In many industrial applications, processes often have multiple characteristics with various specifications. The generated yield index C-pk(T) establishes the relationship between the manufacturing specifications and the actual process performance, which provides a lower bound on process yield. In this paper, the explicated formula of the lower confidence bound is derived, and then the lower confidence bound for various values alpha-risk, capability requirements, and sample sizes are calculated via the use of R programs. The lower confidence bound is essential to product reliability assurance and is important in the hypothesis testing of process capability. We not only provide some reliable lower confidence bound tables but also develop a simple and practical procedure for engineers. The practitioners can use the proposed procedure to determine whether their process meets the preset capability requirement and to make reliable decisions." | en_US |
dc.language.iso | en_US | en_US |
dc.subject | capability index | en_US |
dc.subject | lower confidence bound | en_US |
dc.subject | production yield | en_US |
dc.title | Implementation of Evaluating Process Capability Index C-pk for Processes with Multiple Characteristics | en_US |
dc.type | Article | en_US |
dc.identifier.journal | JOURNAL OF TESTING AND EVALUATION | en_US |
dc.citation.volume | 40 | en_US |
dc.citation.issue | 4 | en_US |
dc.citation.epage | 643 | en_US |
dc.contributor.department | 工業工程與管理學系 | zh_TW |
dc.contributor.department | Department of Industrial Engineering and Management | en_US |
dc.identifier.wosnumber | WOS:000307424100015 | - |
dc.citation.woscount | 2 | - |
Appears in Collections: | Articles |