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Projects/Programs

Displaying 1 - 18 of 18

Agri-Food Manufacturing System and Supply Chain Integration

Ongoing
Objective: Deploy new standards and reference data supporting agri-food manufacturing systems to enable industry to more efficiently and cost effectively produce food-based products of higher quality and with improved food safety. Technical Idea: Today, food producers face many challenges include

Cyber Physical Systems and Internet of Things Program

Ongoing
Objective - Enable scalable, dependable design methods and reproducible performance measurement for effective and trustworthy (reliable, safe, secure, resilient and privacy-enhancing) cyber-physical systems and IoT, by means of new measurement science, advanced testing and assurance capabilities and

Cyber-Physical Systems/Internet of Things Testbed

Ongoing
Objective - To develop general design principles useful to all cyber-physical systems testbed developers and the co-simulation community; to develop specific design concepts to guide the development, operation, and evolution of NIST’s IoT/CPS testbed; and to establish a cross-sector IoT/CPS testbed

Cyber-Physical Systems and Internet of Things Foundations

Ongoing
Objective - To provide a common technical and conceptual foundation for CPS and IoT that enables conceptualization, realization and assurance across all domains, including a comprehensive and traceable methodology for meeting all stakeholder concerns throughout any systems engineering process and

Data Analytics for Smart Manufacturing Systems

Ongoing
Objective: Develop standards, software tools, methodologies, and guidelines to enable small and medium enterprises to apply data analytics services to improve decision-making and performance in smart manufacturing systems. Technical Idea: Manufacturers need enhanced decision-support tools that would

Data Driven Decision Support for Additive Manufacturing

Completed
Objective To develop and deploy the metrics, models, and best practices for using product definition, advanced analytics, and machine learning methods in additive manufacturing design and process planning to reduce lead times and support first-part-correct goals. Technical Idea Future advancements

Data Integration and Management for Additive Manufacturing

Completed
Objective Data plays the most critical role in linking AM lifecycle and value chain activities and streamlining the AM development process. While the AM data from a single build is essential for establishing part traceability, when methodically collected, the full processing history of thousands of

Extended Digital Thread

Ongoing
OBJECTIVE: To deliver standards, methods, and tools that improve smart manufacturing efficiency, agility, and reliability, by increasing the quality of information representations across more of the product lifecycle, including design, production, and use of resulting products. WHAT IS THE TECHNICAL

Knowledge Extraction and Application

Completed
Objective - To develop and deploy advances in standards, measurement science, and software tools using actionable, computable, domain knowledge and data in operations and logistics to improve the reliability, quality, and efficiency of advanced manufacturing systems. What is the technical idea? The

Model-Based Enterprise Program

Ongoing
OBJECTIVE: The Model-Based Enterprise (MBE) Program will develop and deploy advances in standards, test methods, and measurement science that enable manufacturers to integrate system, service, product, process, and logistics models across the manufacturing enterprise. WHAT IS THE NEW TECHNICAL IDEA

Model-Based Manufacturing Services

Ongoing
Manufacturing systems need to transform towards a new service-oriented architecture to benefit from new smart manufacturing technologies such as IIoT, AI, and Big Data Analytics. A service-oriented manufacturing system (SOMS) is a dynamic composition of networked manufacturing software and cyber

NIST Automated Vehicles Program

Ongoing
Measurement science and standards are needed to support the safe and predictable operation of future automated vehicles (AVs), which have great potential to significantly impact our daily lives and improve the competitiveness of our economy. A FY22 NIST Strategic and Emerging Research Initiatives

Product Definitions for Smart Manufacturing

Completed
The Product Definitions for Smart Manufacturing project will deliver methods, protocols, and tools for developing, conformance testing, increasing user-awareness, and industrial adoption of product definition standards necessary for the digital transformation of manufacturing enterprises. Smart

Product Lifecycle Data Exploration and Visualization

Ongoing
With the continuing emergence of low-cost, lightweight, and powerful hardware at the edge, opportunities grow for advancing methods, standards, and software tools for data exploration and visualization in smart manufacturing systems. Small and medium-sized enterprises have limited resources to

Service-Oriented Architectures for Smart Manufacturing Project

Ongoing
Objective: Improve the performance of smart manufacturing systems by developing standards, reference models, and software tools that enable the application of service-based integration technologies to smart manufacturing systems. Technical Idea: Manufacturers are increasingly using the inherent

Smart Manufacturing Systems Design and Analysis Program

Ongoing
Smart Manufacturing has the potential to fundamentally change how products are designed, manufactured, supplied, used, remanufactured and eventually retired. Current smart manufacturing implementations are mostly at the plant level, and use information technology, sensor networks, computerized

Systems Analysis Integration

Ongoing
Purpose & Goal The purpose of the SAI Project is to reduce redundant and inconsistent information about systems and their analysis across the multiple engineering disciplines involved. Redundant and inconsistent information exists between: Systems and analysis models: discipline-specific analysis