Engineering Research Deployment Teaching Initiative: Multimedia-Based Teaching/Learning Modules for Production Scheduling Using Artificial Intelligence Techniques

工程研究部署教学计划：利用人工智能技术进行生产调度的多媒体教学模块

• 批准号: 9409421
• 负责人: Luis Rabelo
• 金额: $ 2.41万
• 依托单位: Ohio University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-08-15 至 1996-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9409421&HistoricalAwards=false
• 关键词: Engineering; Research; Deployment; Teaching; Initiative

9409421 Rabelo The objective of this project is to develop and bring to engineering students and industry personnel a program for utilizing artificial intelligence (AI) techniques for scheduling and sequencing of manufacturing systems. The materials to be packaged for deployment purposes are the results and outcomes of prior research efforts by the principal investigator (PI) in the same subject area. The program will involve the development of a series of teaching/learning modules. The PI, along with a team of graduates students, consultants, academia and government personnel, and production and systems managers will be engaged in the development. The development of the series will be based on multimedia approach and is expected to provide a rich learning experience and promote better learning experiences and understanding. The modules to be developed will be incorporated into introductory manufacturing and control courses, applied AI courses, and training and re-training seminars for production and research and development personnel in industry. Ideas will be solicited from professors at different universities to build, update, and modify the modules to ensure wide acceptance.

小行星9409421 该项目的目标是开发和实现 工程专业学生和行业人员利用人工智能（AI）技术进行调度和 制造系统的排序。 为部署目的而打包的材料是先前 主要研究者（PI）的研究工作， 主题领域。 该计划将涉及一系列教学/学习模块的开发。 PI，沿着由研究生、顾问、学术界和政府人员以及生产和系统经理组成的团队将参与开发。 该系列的开发将基于多媒体的方法，并有望提供丰富的学习 体验和促进更好的学习经验和理解。 将开发的模块将纳入 制造和控制入门课程、应用人工智能课程以及生产和研究培训和再培训研讨会 和工业开发人员。 将征求不同大学教授的意见，以建立、更新和修改这些模块，以确保广泛接受。