NSF I/UCRC in Quality and Reliability Engineering

质量和可靠性工程是维持美国制造能力有效性所需的基本要素。由于这一领域对美国工业的重要性，罗格斯大学和亚利桑那州立大学（包括亚利桑那州立大学）获得了一项规划拨款EEC-9526413，以探索形成一个工业/大学质量和可靠性工程合作研究中心。由于1996年7月举行了一次规划会议，已经产生了足够的工业支助，以成为一个工业/大学合作研究中心。该中心的初步研究议程将涉及：改进由客观测量和消费者小组数据判断的产品；利用顾客的声音进行质量优化设计部件可靠性估计中具有不确定性的系统可靠性预测贝叶斯与失效物理方法的集成求解试验时间压缩加速寿命试验的通用可靠性预测模型电子制造业的加速测试基于多元统计工具的数据挖掘设备和工艺的特性、优化和鉴定；多变量过程监控；汽车系统软件可靠性与开发过程模型过程能力指数和损失函数。这个建议已经和dr。Geogia-Ann Klutke和Lawrence Seiford是NSF运筹学和生产系统项目主任。

ABSTRACT EEC-9713003 ELSAYED Rutgers University Quality and reliability engineering is an essential ingredient required to maintain the United States manufacturing capacity effectiveness. Because of the importance of this area to U.S. industry, a planning grant, EEC-9526413, was awarded to Rutgers University and Arizona State University (including the Arizona State University) to explore the forming of an Industry/University Cooperative Research Center for Quality and Reliability Engineering. As a result of a planning meeting held in July 1996, sufficient industrial support has been generated to become an Industry/University Cooperative Research Center (I/UCRC). The Center's initial research agenda will address: Improving Products that are Judged by Objective Measurements and Consumer Panel Data; Optimal Design for Quality Using the Voice of the Customer; System Reliability Prediction with Uncertainty in Component Reliability Estimates; Integration of Bayesian and Physics of Failure Approaches to Obtain Test Time Compression; A General Reliability Prediction Model for Accelerated Life Testing; Accelerated Testing for Electronics Manufacturing; Data Mining with Multivariate Statistical Tools; Equipment and Process Characterization, Optimization, and Qualification; Multivariate Process Monitoring and Control; Software Reliability and Development Process Models for Automobile Systems; Process Capability Indices and Loss Function. This proposal has been coordinated with Drs. Geogia-Ann Klutke and Lawrence Seiford, NSF Program Directors for the Operations Research and Production Systems Program.