Mathematical Sciences: On-Site Research to Advance Industrial Quality and Productivity

数学科学：现场研究以提高工业质量和生产力

• 批准号: 9223559
• 负责人: Barbara Bailar
• 金额: $ 46.53万
• 依托单位: American Statistical Association
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-10-01 至 1996-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9223559&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Site; Research; Advance

Continued funding is provided for a fellowship program entitled "On-Site Research to Advance Industrial Quality and Productivity." Jointly sponsored by the National Science Foundation and the National Institute of Standards and Technology (NIST), the program will be administered by the American Statistical Association while NIST acts as the host agency. This program is designed to bridge gaps between quality assurance efforts in industry, academia and government through the formation of research teams of industrial, academic, and NIST statisticians and engineers. Possible areas of research for Fellows ar statistical design of industrial experiments, process control, studies of advanced manufacturing systems, computing for engineering and industrial statistics, and calibration of manufacturing process control. Continued funding is provided for a fellowship program, designed to have academic statisticians and engineers studying industrial problems, especially in the area of quality assurance.

继续为一个奖学金项目提供资金 题为“现场研究，以提高工业质量和 生产力“由国家科学联合主办 基金会和国家标准与技术研究所 （NIST），该计划将由美国 统计协会，而NIST作为主办机构。 这 该计划旨在弥合质量保证 工业界、学术界和政府通过 组建工业、学术和NIST研究团队 统计学家和工程师。 可能的研究领域 工业试验统计设计、过程统计设计 控制，先进制造系统的研究，计算 工程和工业统计，以及 制造过程控制。 继续为研究金方案提供资金， 旨在让学术统计学家和工程师学习 工业问题，特别是在质量保证方面。