Historically, part characteristics have been considered independently of their interrelatedness. This has resulted in costly, time-consuming and inefficient manufacturing, tooling, quality and design practices. A pioneering system of algorithms has been developed which integrates prior art techniques from the fields of correlation, regression, prediction, mapping, and statistics to capitalize on the inherent interrelatedness between part characteristics. This system of algorithms has led to breakthrough insights into manufacturing, tooling, fixture, quality and design processes and to powerful new computational software. This new technology increases quality and greatly reduces measurement and analysis costs during production and accelerates time-tomarket, increases quality and reduces cost and risk during development.
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