Collaborative Research: Efficient Experimentation for Product and Process Reliability Improvement

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。这项拨款为开发产品和过程可靠性响应的实验设计理论和技术提供资金，以填补目前存在于可靠性设计中的空白。将传统的试验设计工具直接应用于可靠性试验是不合适的。本项目将解决可靠性实验的基本问题，包括非正态响应分布、非线性模型和参数依赖问题，这些问题阻碍了DOE在提高产品和过程可靠性方面的有效利用。初步研究表明，所提出的方法将导致设计优于那些在实践中遇到的。在创建和测试一组新的DOE工具方面，该项目具有创新性和变革性，这些工具将极大地扩展统计实验设计的能力和适用性。如果成功，这项资助所预见的理论结果将影响许多科学界，包括工程设计、材料设计、生物医学和临床试验。通过“设计中”的可靠性，公司将能够减少整个产品设计、开发和交付过程中所需的实验运行次数。将建立一个全面的网站，专门介绍实验设计和可靠性，以传播这项研究的结果。拟议的研究活动是培养研究生和本科生发展实验设计和可靠性分析的理论模型和应用的自然场所。该项目将促进两所大学（亚利桑那州立大学和南伊利诺伊大学爱德华兹维尔分校）的跨学科研究（工业工程和数理统计），并改善工程和数学科学学生的理论和应用类型的教育。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This grant provides funding for developing experimental design theories and techniques for product and process reliability responses that will fill the gap that currently exists in design for reliability. Direct application of traditional design of experiment (DOE) tools on reliability experiments is inappropriate. This project will attack the fundamental problems of reliability experiments, including non-normal response distribution, nonlinear model and parameter dependency problems, which have prevented the efficient use of DOE for product and process reliability improvement. Preliminary studies indicate that the proposed methodology will result in designs superior to those encountered in practice. This project is innovative and transformative in terms of creating and testing a group of new DOE tools that will greatly expand the capability and applicability of statistical experimental design.If successful, the theoretical results foreseen in this grant will impact a number of scientific communities, including engineering design, material design, biomedicine and clinical trails. By "designing-in" reliability, companies will be able to reduce the number of experimental runs needed throughout the product design, development, and delivery. A comprehensive website devoted to experimental design and reliability will be developed to disseminate the results of this research. The proposed research activities are a natural venue for training graduate and undergraduate students to develop theoretical models and applications of experimental design and reliability analysis. This project will boost the interdisciplinary research (Industrial Engineering and Mathematical Statistics) at two universities (Arizona State University and Southern Illinois University Edwardsville), and improve both theoretical and application types of education for engineering and mathematical science students.