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STATISTICAL QUALITY CONTROL PROCEDURES

Source: www7.nationalacademies.org
Topic: Quality Control

Sort Desciption: Quality assurance/quality control oversight of field activities should be on going. ... quality control should be used to obtain the most helpful available ...

Content Inside: STATISTICAL QUALITY CONTROL PROCEDURES 1. SUMMARY Taguchi's Robust Design Approach Taguchi's emphasis on instilling quality at the design stage has been important in a number of situations and deserves careful attention. His specific robust design approach has yielded good results in many instances but recent studies indicate that more classical designs can serve the same purposes-- sometimes at least doing so more efficiently albeit less understandably for the technically unsophisticated. While some details of Taguchi's method as practiced in manufacturing may not be applicable in white-collar public-sector service-oriented activities some of the Taguchi philosophy might be and might for example help to make the design of existing or future data collection data analysis and decision-making processes robust with respect to such factors as measurement biases (due perhaps to poor calibration or laboratory-to- laboratory variation) highly variable measurements and missing data. Irrespective of incorporating a formal Taguchi approach significant benefits can often accrue from improved calibration and sample size calculation and from the use of better statistical techniques. Systematic Approaches to Quality in the Planning for Collection and Use of Data A careful systematic approach to data collection should emphasize the planning steps particularly a full specification of the problem and should use teams of people with different skills to design data collection protocols and identify in detail what data are to be collected and how. The EPA's data quality objectives (DQO) process focuses on the earlier stages of this process. It deserves more extensive use which would be facilitated by communication of the flexibility it can provide and a clearer understanding of the extent to which it can use pre-existing information of whatever quality that may be available. To exploit a priori information project managers and other decision makers need to assure that statist ...

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