Applications Of Statistical Techniques In Quality Systems
| dc.contributor.author | Chee, Suat Kheng | |
| dc.date.accessioned | 2016-04-08T07:09:43Z | |
| dc.date.available | 2016-04-08T07:09:43Z | |
| dc.date.issued | 2006-04 | |
| dc.description.abstract | In order to compete and gain new business in the market, every organization is trying to obtain certification of various types of quality management system (aMS) standards based on their customer needs. ISO 9000 is the most popular quality management system that are adopted by most of the organizations. Other specific industry aMS standards such as as 9000ffS 16949, AS 9100, TL 9000, ISO 13485 and Quality System Requirements (Q.SR) for medical devices are developed to meet different industry and customer requirements. Application of statistical techniques in different types of OMS is compared and discussed. Every QMS standard requires application of statistical techniques. It becomes more important especially in the manufacturing industry to reduce process variation and prevent defects. However, there are some differences in the application of statistical techniques in various types of QMS. Specific statistical techniques are required in some QMS like as 9000ffS 16949. A case study has been carried out on the statistical techniques used in a printed circuit board assembly (PCBA) manufacturing factory. It was proved that statistical techniques are effective in variation reduction and defects prevention. Most of the organizations try to apply the statistical techniques optimumly due to its effectiveness. Since the QMS standard only stated the statistical requirements in general, so it is recommended that specific statistical techniques are enforced in order to obtain greater improvement in the future. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1828 | |
| dc.subject | Mathematics | en_US |
| dc.subject | Quality assurance | en_US |
| dc.title | Applications Of Statistical Techniques In Quality Systems | en_US |
| dc.type | Thesis | en_US |
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