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Operating frameworks for statistical quality engineering

Operating frameworks for statistical quality engineering The attainment of superior quality and reliability in a manufactured product depends upon the existence of a framework integrating 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

Operating frameworks for statistical quality engineering

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Publisher
Emerald Publishing
Copyright
Copyright © 2000 MCB UP Ltd. All rights reserved.
ISSN
0265-671X
DOI
10.1108/02656710010304582
Publisher site
See Article on Publisher Site

Abstract

The attainment of superior quality and reliability in a manufactured product depends upon the existence of a framework integrating 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.

Journal

International Journal of Quality & Reliability ManagementEmerald Publishing

Published: Mar 1, 2000

Keywords: Statistical process control; Design of experiments; Taguchi methods; Reliability

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