Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/63346
DC Field | Value | |
---|---|---|
dc.title | Statistical techniques for quality | |
dc.contributor.author | Xie, M. | |
dc.contributor.author | Goh, T.N. | |
dc.date.accessioned | 2014-06-17T07:03:00Z | |
dc.date.available | 2014-06-17T07:03:00Z | |
dc.date.issued | 1999 | |
dc.identifier.citation | Xie, M.,Goh, T.N. (1999). Statistical techniques for quality. TQM Magazine 11 (4) : 238-241. ScholarBank@NUS Repository. | |
dc.identifier.issn | 0954478X | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/63346 | |
dc.description.abstract | When objective decisions are to be made, statistical methods should be used based on any objective information in the form of data collected about a product or process. Statistical techniques such as control charts, process capability indices and design of experiments have been used in the manufacturing industry for many years. There are a number of practical and managerial issues related to the application of statistical techniques in studies aimed at improving process and product quality. This paper is a summary of the thoughts and discussions from a recent Internet conference on this issue. Statistical process control techniques and their role in process improvement are first discussed and some issues related to the interpretation and use of experimental design techniques are also summarised. The focus will be on continuous quality improvement using statistical techniques. | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.sourcetitle | TQM Magazine | |
dc.description.volume | 11 | |
dc.description.issue | 4 | |
dc.description.page | 238-241 | |
dc.description.coden | TQMME | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.