Applications Of Statistical Techniques In Quality Systems
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Date
2006-04
Authors
Chee, Suat Kheng
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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.
Description
Keywords
Mathematics , Quality assurance