Statistical engineering

统计方法是完善的工具，用于提高生产过程和产品的质量和生产力。随着行业、技术和竞争力量的发展，出现了新的问题和挑战，需要新的方法。提出的研究的主要推力是开发和增强一步一步的算法，以指导从业者通过变异减少项目。减少过程输出的变化是过程改进的关键部分。对于批量生产的部件和组件，减少变化可以同时降低总体成本，改善功能并提高客户对产品的满意度。过多的变化可能会带来可怕的后果，导致报废和返工，需要额外的检查，客户退货，功能受损，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.