Please use this identifier to cite or link to this item:
|Title:||Operating frameworks for statistical quality engineering|
|Keywords:||Design of experiments|
Statistical process control
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 12, 2018
checked on Feb 15, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.