EAGER: Concurrent Garage Shop Design and Production Using GENI

该探索性研究（EAGER）早期概念补助金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、监视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的重要组成部分，改变着商业、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重大影响。当前这一代互联网并不适合于制造过程的监控。其主要缺点之一是不能保证实时操作。为了克服这个缺点，我们将探索不同的协议和架构。利用实验性的GENI平台，研究人员可以对下一代网络协议进行实验，以确定如何将其最有效地应用于制造应用。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生产上，这对创新者至关重要。这项研究将使创新者能够以较低的成本扩展美国的创业文化。用户将不再需要联系公司，等待他们制造和交付最终产品。他们可以选择一个工位，发送有关产品的产品信息，并控制过程直到完成。目标是使其自动发生，而不需要任何特定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.