A2LA Evaluating Measurement Data to Reduce Decision Risk
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This two-day course focuses on metrology's role throughout a Quality Management System (QMS) and the methods for evaluating risk related to measurement-based decisions.

10/12/2016 to 10/13/2016
When: 10/12/2016
Where: A2LA Headquarters
5202 Presidents Court
Suite 220
Frederick, Maryland  21703
United States
Contact: Julie Collins
(301) 644-3235

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Decisions have consequences and measurement data directly affects the decision-making process. There are three essential elements that provide "good" measurement data: reasonable design specifications, properly calibrated measuring equipment, and adequate measurement processes. Decisions based on bad measurements are never good and sometimes they literally can be catastrophic to individuals and corporations. For example, a poor automotive design specification could lead to failures resulting in accidents, deaths, and recalls costing billions of dollars. An improperly calibrated medical device could lead to the death of a patient, and a deficient measurement process in a forensic test could lead to the incarceration of an innocent person.

This two-day course focuses on metrology's role throughout a Quality Management System (QMS) and the methods for evaluating risk related to measurement-based decisions. Part One briefly discusses metrology's influence throughout the lifecycle and, through factual case studies, highlights the negative consequences when one or more of metrology's elements fail. Part Two provides the technical and mathematical details required to evaluate the probability of decision risk for measurements used in conformity assessment decisions. This information can be used to strike a sensible cost-benefit balance between the costs of metrology and the costs incurred due to bad measurement-based decisions.

 

URL: http://www.a2la.org/training/evalMeasdata.cfm?private=no