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Engineering and manufacturing industries

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Research: the key to quality policies and procedures

Article Abstract:

The development of a structured research plan is the most important element of writing quality policies and procedures. High quality, accurate and thorough policies and procedures are vital to the documentation demands of the ISO 9000 standards and the capability maturity model. A research plan must include enough tools to analyze a business process in detail. The vital elements of any research plan are methods and writing format. The latter provides a structure to document information obtained during the research phase.

Author: Page, Stephen B.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2000

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Decision tree helps categorize quality costs

Article Abstract:

Decisions trees can help quantify the costs and savings arising from quality controls, aiding in quality decision making. Four basic steps are involved in quality costs, namely, prevention, appraisal, international nonconformances and external nonconformances. On the proposed decision tree, each element of quality control can be identified as either a normal cost of production, or a waste of money arising from poor structuring of non-compliance with policies.

Author: Underhill, Bennett N.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 1995
Management, Usage, Cost (Economics), Decision tree, Decision trees

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Implementing multivariate statistical process control using hotelling's T2 statistics

Article Abstract:

Research is presented describing the implementation of statistical control procedures which take account of subtle changes in within a multivariable business.

Author: Young, John, Mason, Robert
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2001
Multivariate analysis, Statistical process control

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Subjects list: Research, Quality control
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