EAGER: Concurrent Garage Shop Design and Production Using GENI

这一早期概念探索性研究(EARGER)奖为基于计算机网络的制造系统的研究提供资金，该系统将允许设计师指定、监控和控制零件制造过程。计算机网络已经发展成为我们日常生活中至关重要的一部分，改变了商业、通信和社交网络。然而，计算机网络的巨大能力尚未对制造业产生实质性影响。当前的互联网不适合用于制造过程的监测和控制。其中一大缺点是不能保证实时运行。为了克服这一缺点，将探索不同的协议和体系结构。利用实验性的GENI平台，研究人员可以试验下一代网络协议，以确定如何将其最有效地应用于制造业应用。如果成功，这项研究的结果将导致确定应用于制造业的网络需求，并改进协议和架构以满足这些需求。这项工作将集中在小批量制造上，这对创新者来说是至关重要的。这项研究将使创新者能够以更低的成本扩大美国的创业文化。用户将不再需要联系公司并等待他们制造和交付最终产品。他们只需选择一个站点，发送有关该产品的产品信息，然后控制整个过程，直到完成。我们的目标是让这一过程自动发生，而不需要任何特定于部件的人为干预或延迟。

This EArly-concept Grant for Exploratory Reserch (EAGER) award provides funding for the study of a computer network based manufacturing system that will allow a designer to specify, monitor and control the part fabrication process. Computer networks have evolved into a vital part of our everyday life, transforming commerce, communications, and social networking. However, the tremendous capabilities of computer networks have yet to have a substantial impact on the manufacturing sector. The current generation Internet is not suitable for manufacturing process monitoring and control. One of the major shortcomings is that real-time operation cannot be ensured. To overcome this shortcoming different protocols and architectures will be explored. Leveraging the experimental GENI platform, researchers can experiment with next generation networking protocols to determine how they can be most effectively applied to manufacturing applications.If successful, the results of this research will lead to identifying the requirements of networks to be applied to manufacturing, and also to improve protocols and architectures to meet these requirements. The work will focus on small-lot manufacturing, which is of prime importance to the innovator. This research would enable the innovator to expand the entrepreneurial culture of the US at lower cost. A user would no longer need to contact a company and wait for them to fabricate and deliver a final product. They could just select a station, send the product information about the product, and control the process until completion. The goal is to have this occur automatically, without any part-specific human intervention or delay.