University - Industry Cooperative Research Programs in the Mathematical Sciences: Process Design, Modeling and Optimization in Electronics and Health Care Products

数学科学领域的大学-工业合作研究项目：电子和保健产品的工艺设计、建模和优化

• 批准号: 9705054
• 负责人: Douglas Nychka
• 金额: $ 7.08万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-06-15 至 1998-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9705054&HistoricalAwards=false
• 关键词: University; Industry; Cooperative; Research; Programs

Process Design, Modeling and Optimization in Electronics and Health Care Products This proposal structures two teams of graduate traineeships that integrate graduate research with practical contributions to industrial problems. The industrial partners use cutting edge technology to create new health care products (Becton Dickinson) and electronic devices (Nortel) and the need for statistical support to develop and control new processes is acute. This training plan leverages the close collaboration between the principal investigators and the partner companies and the projects have been chosen because of their importance to the companies and their statistical complexity and depth. Many of the statistical issues are nonstandard and provide a fertile ground for thesis research in design and estimation for nonparametric regression models, spatial and spatio-temporal models for batch processes and run-by-run process optimization. By weaving the trainee's research with their industrial experience they will learn to transfer the problem solving skills expected for thesis research to the development of innovative statistical approaches to meet a company's goals of product development and product quality. This project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).

电子和医疗保健产品的工艺设计、建模和优化 该提案构建了两个研究生培训团队，将研究生研究与对工业问题的实际贡献相结合。工业合作伙伴使用尖端技术来创造新的医疗保健产品（Becton Dickinson）和电子设备（Nortel），并且迫切需要统计支持来开发和控制新流程。 该培训计划利用了主要研究者和伙伴公司之间的密切合作，选择这些项目是因为它们对公司的重要性及其统计的复杂性和深度。许多统计问题是非标准的，并提供了一个肥沃的土壤，论文研究的设计和估计的非参数回归模型，空间和时空模型的批处理和运行的过程优化。 通过编织实习生的研究与他们的行业经验，他们将学习转移的问题解决能力，预计论文研究创新的统计方法的发展，以满足公司的产品开发和产品质量的目标。 该项目由MPS多学科活动办公室（OMA）和数学科学部（DMS）共同支持。