Abstract
Statistical selective assembly is a means by which high-precision assemblies may be made from relatively low-precision components. This is accomplished by partitioning components into groups prior to random assembly. However, the method has been shown to produce poor results when the components exhibit dissimilar variabilities. A technology for partially overcoming this limitation is evaluated.
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