Mathematical Sciences: Workshops for Statistical Methodologyin Quality and Productivity Improvement

数学科学：质量和生产力改进统计方法研讨会

• 批准号: 8912592
• 负责人: Stephen Fienberg
• 金额: $ 1万
• 依托单位: MPC Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-07-01 至 1990-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8912592&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Workshops; Statistical; Methodologyin

Two workshops on statistical methodology in quality and product improvement are to be conducted. The first workshop will focus on the identification and exploration of a broad range of research problems involving statistical science and its use in addressing problems in process quality and productivity. Typical problems range from the development of process diagnostics to detect processes out of control or deterioration of machines or tools used in these processes to new experimental design techniques to improve the quality of processes having a large number of control variables to techniques related to the development of large scale software products and project management. The workshop will look at specific problems involving response surface methodology in very high dimensions with vector outcome variables and will address the issues arising in combining observational data analysis with designed experiments to learn the shape of the response surface and optimize the production process. Statistical graphics techniques as well as computer science methods of artificial intelligence (e.g., neural networks ) will be explored.

两次关于质量统计方法和 必须进行产品改进。 第一个讲习班将 重点是识别和探索广泛的 涉及统计科学的研究问题及其在 解决工艺质量和生产率方面的问题。 典型 问题的范围从过程诊断的发展到 检测过程失控或机器退化，或 在这些过程中使用的新的实验设计工具 技术，以提高具有大的质量的过程， 控制变量的数量与技术有关， 大型软件产品和项目的开发 管理 研讨会将探讨具体问题 涉及非常高维的响应面方法 与矢量结果变量，并将解决出现的问题 将观测数据分析与设计 实验来学习响应面的形状， 优化生产过程。 统计图形技术 以及人工智能的计算机科学方法 (e.g.,神经网络）将被探索。