Advanced Manufacturing Data Infrastructure and Analytics Program

Summary

The Advanced Manufacturing Data Infrastructure and Analytics (AMDIA) program is laying the groundwork for advanced data infrastructure to improve the productivity, resiliency, and sustainability of manufacturing operations and enterprises across the supply chain. As the manufacturing industry produces increasing volumes of diverse data, stakeholders need robust data infrastructure and trusted analytics to prepare, model, understand, and utilize their data effectively for improved control and better decision-making. Emerging technologies allow manufacturers to collect, structure, link, and analyze data in new ways. However, technologies are seldom one-size-fits-all solutions. Research into manufacturing data and the role of humans and AI in the process is needed to effectively adopt and integrate solutions into existing operations.

The AMDIA program will develop methods, standards, tools, and datasets, to advance manufacturing data infrastructure, with a focus on data collection, transformation, interoperability, and the application of AI to manufacturing data. AMDIA outputs will lower the barriers to incorporating new technologies and analysis methods into existing and emerging operations. These outcomes will enable trusted, understandable, and reproducible information workflows across engineered products, manufacturing enterprises, and supply chains to improve decision-making. 

Description

Objective
The Advanced Manufacturing Data Infrastructure and Analytics (AMDIA) Program will develop and deploy measurement science to advance a data infrastructure that will improve the productivity, resiliency, and sustainability of manufacturing operations and supply chains to enhance U.S. innovation and industrial competitiveness.

What is the new technical idea?
Manufacturers continually gain more capability to collect and monitor data throughout all levels of their operations and across their supply chains. As manufacturing operations become more advanced, so, too, does the amount, variability, and uncertainty of the corresponding data. Manufacturing processes and constituent enabling technologies are rapidly evolving including advanced sensing capabilities, technical language processing tools, augmented reality systems, and cybersecurity measures. One commonality among all of these elements and output from nearly every manufacturing process is data. Manufacturers and their industry partners are becoming greater generators and consumers of data output from their operations, particularly as automation increases. Turning this data into meaningful intelligence is difficult.

A robust data infrastructure creates a vital foundation for manufacturers to build upon with advanced and emerging technologies to improve their operations. The AMDIA program will focus on data infrastructure to support data sharing across the supply chain. Infrastructure promotes data sharing throughout the entire community, including public datasets, open-source tools, and publicly available standard guidelines. A multi-disciplinary team will bring together data architecture and analysis expertise from manufacturing domain researchers, to ensure that the resulting data infrastructure advancements address both industry and research needs. This will improve manufacturing data infrastructure by understanding the nuances of the data and the specific needs of the manufacturing community for improved productivity, sustainability, resiliency, and security while also investigating new technologies that can enable improved analysis, decision-making, and control.

What is the research plan?
The research plan consists of a portfolio of interrelated projects that focus on key standards, methods, and measurement science needed to achieve successful development and implementation of advanced manufacturing data infrastructure and analytics. Collectively the projects provide a comprehensive approach that will lead to new industry standards and practices. The program will take a multi-faceted approach by not only focusing on different parts of the manufacturing supply chain, but also different stages of the data lifecycle and critical emerging technologies. The AMDIA program will

• Develop an information infrastructure to enable AI enhancement of data processing.
• Improve data collection through advanced sensing.
• Develop test methods and standards for digital twins.
• Enable improved interoperability.
• Enhance traceability throughout the supply chain

The AMDIA program is developing new measurement science and standards for systems integration in critical emerging technology areas. Current projects include

• Biomanufacturing
• Application of AI to manufacturing information.
• Critical Material Recovery.
• Supply Chain Traceability
• Ontology Research and Development
• Digital Twin
• Human/AI Teaming
• Advanced Sensor technologies 

Created July 8, 2026, Updated July 15, 2026