Artificial Intelligence Support for Statistical Process Control of Discrete Manufacturing Processes

人工智能支持离散制造过程的统计过程控制

• 批准号: 9060193
• 负责人: Peter Green
• 金额: $ 5万
• 依托单位: Real-Time Intelligent Systems Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-01-01 至 1991-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9060193&HistoricalAwards=false
• 关键词: Artificial; Intelligence; Support; Statistical; Process

This research addresses the problem of how to achieve high quality products at minimum cost. Manufacturers understand that the way to achieve quality is by controlling the process so as to minimize defects rather than by rejecting parts in an inspection process. To do this, they need to apply statistical process control principles to the manufacturing process. A potential solution to this dilemma is to put the required knowledge into computer systems which assist shop floor personnel in performing statistical process control. The objective of the project is to extend prior research into real-time artificial intelligence systems to enable its application to this problem and to test the viability of this solution in actual manufacturing operations.

这项研究解决了如何实现高 以最低成本生产优质产品。 制造商明白， 实现质量的方法是通过控制过程， 最大限度地减少缺陷，而不是在检查中拒收零件 过程 要做到这一点，他们需要应用统计过程 生产过程的控制原则。 解决这一困境的一个可能的办法是将所需的 知识融入计算机系统，协助车间人员 进行统计过程控制。 的目的 一个项目是将先前的研究扩展到实时人工 智能系统，使其应用到这个问题， 以测试该解决方案在实际生产中的可行性 运营