Statistical methods to improve quality and productivity

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Statistical methods are well established tools for improving the quality and productivity of manufacturing processes and products. As the industries, technology and competitive forces evolve new problems and challenges arise that require new methods. The main thrust of the proposed research is the development and enhancement of a step by step algorithm to guide practitioners through a variation reduction project. Reducing the variation in process outputs is a key part of process improvement. For mass produced components and assemblies, reducing variation can simultaneously reduce overall cost, improve function and increase customer satisfaction with the product. Excess variation can have dire consequences, leading to scrap and rework, the need for added inspection, customer returns, impairment of function and a reduction in reliability and durability.