Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, KS | en_US |
dc.contributor.author | Huang, ML | en_US |
dc.contributor.author | Li, RK | en_US |
dc.date.accessioned | 2014-12-08T15:43:16Z | - |
dc.date.available | 2014-12-08T15:43:16Z | - |
dc.date.issued | 2001-11-01 | en_US |
dc.identifier.issn | 0020-7543 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1080/00207540110073082 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/29283 | - |
dc.description.abstract | Process capability indices (PCIs) are powerful means of studying the process ability for manufacturing a product that meets specifications. Several capability indices including C-p, C-pu, C-pl and C-pk have been widely used in manufacturing industry to provide common quantitative measures on process potential and performance. The formulas for these indices are easily understood and can be straightforwardly applied. However, those process capability indices are inappropriate for asymmetric tolerances and could not be applied to evaluate multiprocess products. Based on C-p, C-pu, C-pl and C-pk, this research aims to develop one process capability analysis chart (PCAC) for precisely measuring an entire product composed of symmetric tolerances, asymmetric tolerances, larger-the-better and smaller-the-better characteristics. The process capability analysis chart evaluates the capabilities of multi-process products and provides chances for continuous improvement on the manufacturing process. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Process capability analysis for an entire product | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1080/00207540110073082 | en_US |
dc.identifier.journal | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | en_US |
dc.citation.volume | 39 | en_US |
dc.citation.issue | 17 | en_US |
dc.citation.spage | 4077 | en_US |
dc.citation.epage | 4087 | 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:000171985900016 | - |
dc.citation.woscount | 50 | - |
Appears in Collections: | Articles |
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