Statistical engineering

统计方法是改进制造过程和产品的质量和生产率的成熟工具。随着产业、技术和竞争力的演变，新的问题和挑战也会出现，需要新的方法。拟议研究的主旨是开发和增强一种循序渐进的算法，以指导实践者完成变异减少项目。减少工艺输出的差异是工艺改进的关键部分。对于批量生产的零部件和组件，减少差异可以同时降低总体成本，改善功能，提高客户对产品的满意度。过度的偏差可能会产生可怕的后果，导致报废和返工、需要额外检查、客户退货、功能受损以及可靠性和耐用性降低。

Statistical methods are well established tools for improving the quality and productivity of manufacturing processes and products. As 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.