Functionality and Cost Engineering

研究涉及统计设计、建模和分析在质量工程中的作用。由于工业实验通常是昂贵的，因此重点放在尽量减少实验努力和从结果分析中获得最大信息的技术和策略上。中心主题是：减少变异；设计对传递变异和环境变异具有鲁棒性的产品；对控制过程进行建模，以更好地理解统计过程控制与自动过程控制之间的作用和可能的冲突；建立标准选择依据；基于数据的对未来可能发生的意外的预测。

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.