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Engineering Laboratory

Systems Integration Division

Projects/Programs

Displaying 26 - 32 of 32

Reliable, High Performance Wireless Systems for Factory Automation

Completed
With the emergence of the Industrial Internet of Things (IIoT), Smart Manufacturing Systems provide a vision of future manufacturing that incorporate highly dynamic physical systems, robust and responsive communications systems, and computing paradigms to maximize efficiency, enable mobility

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

Supply Chain Traceability for Agri-Food Manufacturing

Completed
Objective - Develop and deploy new standards, tools, and guidelines for traceability and cybersecurity that increase trust among participants and customers of agri-food manufacturing supply chains. What is the technical idea? The new technical idea is to develop the measurement science basis for the

Sustainable Manufacturing Program

Ongoing
Objective: To develop and deploy advances in measurement science to achieve sustainability across manufacturing processes enabling resource efficiency and production network resiliency by 2016. What is the problem? Industrial interest in sustainable manufacturing has increased dramatically in recent

Systems Integration for Additive Manufacturing

Ongoing
Objective: Deliver an information systems architecture, including metrics, information models, and validation methods to shorten the design-to-product cycle time in additive manufacturing (AM). Technical Idea: AM adopters are increasingly facing many of the challenges faced by early computer-aided

Trustworthy Systems, Components, and Data for Smart Manufacturing Program

Completed
OBJECTIVE: To develop and deploy advances in measurement science, standards, and test methods that enable key dimensions of trust, including performance, reliability, and security, for smart manufacturing systems, components, and data. WHAT IS THE PROBLEM? Manufacturing continually evolves as