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

EARLY概念探索性研究奖（EAGER）的研究目标是探索如何使用新兴的下一代信息技术（IT）来改变当前的制造服务场景，并提出新的制造服务场景，以提高单一组件和综合产品制造的可访问性，灵活性，效率和质量;并确定目前的瓶颈，提出可能的解决方案，以大大提高这些技术在制造业中的利用率。在云制造的主题下，将探讨几个合理的未来制造场景。计划的研究任务是：（1）制造场景的详细描述，表征和量化;（2）新的网络协议;和（3）语义制造-网络和云计算的要求和进展。如果成功，该项目将汇集制造、计算机网络和基于Web的编程领域的专家，为设想的未来云制造模式制定技术和架构蓝图。这项工作将定义云制造在通信、数据存储和处理需求方面的未来需求。因此，这些需求将涉及软件和硬件开发。这项工作将刺激制造业、电气工程和计算机科学界进行更多令人兴奋的研究，这可能会导致新的制造模式和许多初创公司。该项目将为研究生提供多学科培训和合作经验。将通过讲习班、会议和档案出版物传播成果。

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.