Please use this identifier to cite or link to this item: https://doi.org/10.1108/02656710010304582
Title: Operating frameworks for statistical quality engineering
Authors: Goh, T.N. 
Keywords: Design of experiments
Quality
Reliability
Statistical process control
Taguchi methods
Issue Date: 2000
Source: Goh, T.N. (2000). Operating frameworks for statistical quality engineering. International Journal of Quality and Reliability Management 17 (2) : 180-188. ScholarBank@NUS Repository. https://doi.org/10.1108/02656710010304582
Abstract: The attainment of superior quality and reliability in a manufactured product depends upon the existence of a frameworkintegrating an organization's capabilities in management, technology and information utilization. With respect to information utilization, statistical tools are particularly essential for optimizing product and process performance. This paper outlines the functions of these tools and examines the steps in which they are adopted by non-statisticians in industry. A "seven S" approach is explained, highlighting a strategy for the effective deployment of statistical quality engineering. © MCB University Press, 0265-67IX.
Source Title: International Journal of Quality and Reliability Management
URI: http://scholarbank.nus.edu.sg/handle/10635/63228
ISSN: 0265671X
DOI: 10.1108/02656710010304582
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