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In February 2025, NIST researcher Dr. M. Sharp published the second installment of a 4-part Manufacturing Extension Partnership (MEP) manufacturing innovation
The 2025 MBE & QIF Summit event is returning to MxD (Manufacturing x Digital) headquarters in Chicago, IL, April 15 - 17, 2025. The 2025 event will bring the
NIST has released its latest software version of SimPROCESD v0.3.0, or Simulated-Production Resource for Operations and Conditions Evaluation to Support
Objective To develop and disseminate metrology methods, tools, data, and standards applied to in-situ monitoring of AM processes, such that manufacturers and their customers can accurately and precisely determine the quality of the fabrication process and resulting parts. What is the Technical Idea
According to the NOAA Fisheries of the U.S. report, in 2020 U.S. seafood consumption was estimated at ~6B pounds (~2.7 x 109 kg). Of that, 85% is imported and U.S. exports have seen a significant decline. Globally, the U.S. ranked only 18th in aquaculture production (2020). NIST aims to enhance the
With this effort, NIST is responding to industry needs for traceable, measurement solutions that can resolve spatial variations of absorbed dose at the level of individual components on a silicon wafer or bacteria on surgical instruments. Presently, there is only limited traceability to national
Objective Develop algorithms, methods and standard protocols for Additive Manufacturing (AM) process control, and implement it with software and hardware tools for open control of AM systems to enable more flexible process optimization by manufacturers. What is the Technical Idea? Additively
One of the key aspects of Circular Economy (CE), particularly when focusing on the product level, lies in its emphasis on designing products to facilitate the
This report examines the economics of digital twins in the manufacturing industry, including the costs, benefits, and economic decision to invest in the
Manufacturers perpetually adapt their systems to meet unforeseen events, new objectives, competition, and improved understanding of processes. In that human
Lean manufacturing is based on data collection and analysis that is used toward reducing waste and enabling continuous improvement. However, little research has
SimPROCESD (or Simulated-Production Resource for Operations & Conditions Evaluations to Support Decision-making) is a discrete-event simulation package written
The Unit Manufacturing Process (UMP) Builder allows researchers to record their UMP models according to the ASTM E3012-16 standard .
One of the main drivers
Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it