EAGER: Cloud-Computing and High-Speed Internet Enabled Manufacturing

这一探索性研究（EAGER）早期概念资助的研究目标是探索如何利用新兴的下一代信息技术（IT）来改变当前的制造服务方案，并提出新的制造服务方案，以提高单个组件和综合产品制造的可及性、灵活性、效率和质量；并确定当前的瓶颈，并提出可能的解决方案，以便在制造业中显著提高这些技术的利用率。以“云制造”为主题，探讨几个可能的未来制造场景。计划的研究任务是：(1)详细描述、表征和量化制造场景；(2)新的网络协议；(3)语义制造网和云计算的需求与进展。如果成功，该项目将汇集制造、计算机网络和基于网络的编程领域的专家，为未来的云制造范式制定技术和架构蓝图。这项工作将定义云制造在通信、数据存储和处理方面的未来需求。因此，这些需求将涉及软件和硬件的发展。这项工作将在制造业、电气工程和计算机科学领域激发更多令人兴奋的研究，这些研究可能会带来新的制造业范式和许多初创公司。该项目将为研究生提供多学科的培训和合作经验。结果将通过讲习班、会议和档案出版物传播。

The research objectives of this EArly-concept Grant for Exploratory Research (EAGER) award are to explore how emerging next-generation information technologies (IT) can be used to transform current and suggest new manufacturing service scenarios for increased accessibility, flexibility, efficiency and quality in the manufacture of single components and comprehensive products; and to identify current bottlenecks and suggest possible solutions for a significantly higher degree of utilization of these technologies in manufacturing. Several plausible futuristic manufacturing scenarios under the theme Cloud-Manufacturing, will be explored. The planned research tasks are: (1) Detailed delineation, characterization and quantification of manufacturing scenarios; (2) New network protocols; and (3) Semantic manufacturing-web and cloud computing requirements and advances. If successful, this project will bring together experts in the area of manufacturing, computer networks and web-based programming to lay out a blueprint of enabling technologies and architectures for the envisioned futuristic Cloud-Manufacturing paradigm. The work will define future needs for Cloud-Manufacturing in terms of communication, data storage and processing needs. These needs will, therefore, pertain to both software and hardware developments. The work will stimulate more exciting research in the manufacturing, electrical engineering and computer science communities that could potentially lead to new manufacturing paradigms and many start-up companies. This project will offer graduate students multi-disciplinary training and collaborative experiences. Results will be disseminated through workshops, conferences and archival publications.