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The Advanced Manufacturing Data Infrastructure and Analytics (AMDIA) program will lay the groundwork for advanced data infrastructure and corresponding
The U.S. agriculture sector extends beyond the farm business to include a range of farm-related industries. The largest of these are food service and food
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
AM data is essential for establishing part traceability, understanding AM processes and making decisions during the product development lifecycle. The curation
Due to complexity and the changing nature of industry activity, there is a limited understanding of the supply chain for manufacturing and, subsequently, a
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
This program addresses measurements and standards necessary to develop and deploy advances in measurement science that will enable rapid design-to-product
The Model-Based Enterprise (MBE) program aims to answer how a manufacturer can match product needs to process capabilities to determine the best assets and ways
To develop and deploy to industry advances in standards and measurement science for model-based messaging standards and service-modeling methodology to enable
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
A significant portion of the manufacturing research in NIST’s Engineering Laboratory (EL) focuses on facilitating efficiency improvements in the production and
Collecting and analyzing data to inform changes to improve system performance is a hallmark of Smart Manufacturing. making full use of that data is impeded by a
To develop and deploy advances in methods, standards, and software tools for data visualization and exploration for improving the efficiency and agility of
Develop robust requirements, system models, recommended architectures, and guidelines for the integration of trustworthy wireless systems within factory work
Manufacturing will be revolutionized by new sensor, data analysis, and information technologies. In particular, manufacturers are using new service-based
Deliver measurement science, standards and protocols, and tools needed to design and analyze SMS based on a cyber-physical infrastructure for digital and
Modern supply chains are geographically diverse and quickly formed in response to market opportunities. While this creates many advantages for manufacturers and
To support industry's drive to remain globally competitive and maximize innovation, this program will develop and deploy advances in measurement science to
Advances in computing and communication technology present great opportunities to improve manufacturing productivity. However, applying this technology without