Functionality and Cost Engineering

研究关注的是统计设计的作用， 建模和质量工程分析。 因为 工业实验通常是昂贵的，重点是 给予技术和策略，尽量减少实验 努力，并最大限度地从结果分析中获得信息。 中心主题是：减少变化;设计产品 对传输变化和环境变化具有鲁棒性; 对控制过程进行建模，以更好地了解 统计过程控制之间的角色和可能的冲突 自动过程控制;发展选择的基础 标准和;基于数据的未来可能的颠覆预测。

Research is concerned with the role of statistical design, modeling, and analysis in quality engineering. Because industrial experimentation is usually expensive, emphasis is given to techniques and strategies which minimize experimental effort, and maximize information gained from analysis of results. Central topics are: reduction of variation; designing products robust to transmitted variation and to environmental variation; modeling control processes to achieve better understanding of the roles and possible conflicts between statistical process control and automatic process control; developing bases for choosing standards and; data-based prediction of possible future upsets.