NSF Young Investigator: Development of New Statistical Methods for Quality and Productivity Improvement

NSF 青年研究员：开发新的统计方法以提高质量和生产力

• 批准号: 9257918
• 负责人: Kwokleung Tsui
• 金额: $ 21.91万
• 依托单位: Georgia Tech Research Corporation
• 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: 1992-09-01 至 2000-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9257918&HistoricalAwards=false
• 关键词: NSF; Young; Investigator; Development; New

The research will develop new effective statistical methods for improving product quality, manufacturability, and reliability. Specific research topics include: (1) robust design/Taguchi methods for improving product and manufacturing process design, (2) experimental design methods for optimizing job shop or manufacturing systems configurations or policies, and (3) statistical process control methods for monitoring manufacturing processes with multiple correlated quality characteristics. The research will involve academic researchers, engineers from industry, and students to develop new statistical methods to solve industrial problems. Practical strategies, techniques, and tools will be developed and implemented.

该研究将开发新的有效的统计方法 用于提高产品质量、可制造性和 可靠性 具体研究课题包括：（1）稳健性 设计/改善产品和制造的田口方法 工艺设计，（2）优化实验设计方法 作业车间或制造系统配置或策略，以及 (3)统计过程监控方法 多品质相关制程 特色 这项研究将涉及学术研究人员，工程师， 来自工业界和学生开发新的统计方法， 解决工业问题。 实用策略、技术和 将开发和实施各种工具。