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  • 1
    Electronic Resource
    Electronic Resource
    Bingley : Emerald
    Industrial management & data systems 103 (2003), S. 564-578 
    ISSN: 0263-5577
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Computer Science , Economics
    Notes: The fast evolution of management systems standards ISO 9000 and ISO 14000 worldwide, from unknown entities to well-established management practices, represents a facet of the global marketplace in which many firms operate. Over 400,000 firms in over 150 countries have adopted ISO 9000 since it was introduced in 1986. Its successor, ISO 14000, was introduced in 1996 and has already been adopted by over 30,000 firms in over 100 countries. Reports on the results of an ISO 9000/14000 mail survey, administered in four Far eastern countries including Japan, South Korea, Hong Kong and Taiwan to explore and compare the similarities and differences of motivations, implementations and certification benefits among these countries. Survey data have been analyzed using the multivariate statistical methods and techniques such as factor analysis, cluster analysis, Kruskal-Wallis test, etc. Several conclusions and suggestions are made based on the statistical analysis results.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Bingley : Emerald
    International journal of quality & reliability management 21 (2004), S. 672-682 
    ISSN: 0265-671X
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Economics
    Notes: Recently, gauge repeatability and reproducibility (GR&R) study has been highly regarded by the quality practitioners when QS9000 and D19000 become fashionable requirements for manufacturing industries. Measurement plays a significant role in helping organizations improve their product quality. Good quality of products is the key factor towards business success. Therefore, how to ensure the quality of measurement becomes an important task for quality practitioners. In performing the GR&R study, several parameters, such as the appropriate sample size of parts (n), number of inspectors (p) and replicate measurements (k) are frequently asked by quality personnel in industries. The adequacy of current way of (n, p, k) selection is very questionable. A statistical method using the shortest confidence interval and its associated computer programming algorithm are presented in this paper for evaluating the optimal allocation among sample size of parts (n), number of inspectors (p) and replicate measurements (k). Hopefully, it can provide a useful reference for quality practitioners in industries.
    Type of Medium: Electronic Resource
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