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

电子和保健产品的工艺设计、建模和优化本提案构建了两个研究生实习团队，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建新的医疗保健产品（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人员和合作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以及它们的统计复杂性和深度。许多统计问题是非标准的，为非参数回归模型的设计和估计、批处理过程的空间和时空模型以及逐行过程优化的论文研究提供了肥沃的土壤。通过将实习生的研究与他们的行业经验相结合，他们将学习将论文研究所需的解决问题的技能转移到创新统计方法的开发中，以满足公司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）联合支持。

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).