The National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $223,843 Project Grant to Rutgers, The State University located in New Brunswick, New Jersey. The award, which runs from January 1, 2024 to December 31, 2026, is under the NSF Engineering program (CFDA 47.041) to develop data-driven methodologies for integrative monitoring and operation of multistage manufacturing systems. The key products and services to be delivered include:
- Establishing an integrated mathematical framework to model the spatial interactions between different manufacturing machines and the temporal degradation of each machine, using a flexible non-homogeneous hidden Markov model.
- Developing methodologies to learn quality interactions, detect local anomalies, model machine degradation, and optimize system-level operations.
- Testing and validating the developed methodologies in a laboratory testbed and on real production systems with industrial collaborators.
- Providing training opportunities for students through new curriculum development and outreach activities focused on the interdisciplinary research of manufacturing, computing, sensing, and data analytics.
There are no planned sub-awards for this grant. The project aims to contribute to a more integrated and optimized modern manufacturing factory by exploiting available product quality and machine health data.
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