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The definitions of cyber-physical systems (CPS) and the Internet of Things (IoT) are converging over time to include a common emphasis on hybrid systems of
In simple terms, smart manufacturing systems have the ability to transform data gathered from a variety of manufacturing processes into actionable knowledge for
“Digital disruption is a change in industry triggered by advances in information and communications technology. During the next few years, the technologies
The Digital Thread for Smart Manufacturing Systems project will deliver methods and protocols that extend and complete the digital thread for information
The I++ (Inspection plus-plus) group is a loose consortium of European automobile manufacturers: Daimler, Audi, BMW, Opel, Volkswagen, Porsche, and Volvo. I++
To provide the necessary information for electronic material manufacturers to predict how and when failures will occur and enable lifetime analysis appropriate
The Extended Digital Thread (EDT) project will deliver standards, methods, protocols and tools to enable interoperability of significantly more product and
The Knowledge Extraction and Application (KEA) project will contribute to standards and test methods that normalize models, methods, and technologies for
The key to efficient and effective manufacturing operations is oftentimes knowledge of what will and will not work. In most instances, this knowledge may be
Manufacturing will be revolutionized by new sensor, data analysis, and information technologies. In particular, manufacturers are using new service-based
The Smart Grid Testbed Facility is a unique set of interconnected modules on the NIST Gaithersburg site. Designed as a platform to measure and characterize
The Smart Manufacturing Operations Planning and Control Program will develop and deploy advances in measurement science that enable performance, quality
Deliver measurement science, standards and protocols, and tools needed to design and analyze SMS based on a cyber-physical infrastructure for digital and
Smart manufacturing system development and operations are difficult to manage because information about the systems and their analysis is expressed in redundant