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PREDICTRONICS TO LECTURE AT THE DMDII FUTURE FACTORY TECHNOLOGY SHOWCASE

NOVEMBER 12, 2018

Predictronics is proud to announce our participation in the DMDII Future Factory Technology Showcase hosted at UI Labs in Chicago, IL on November 13th.

DMDII, or The Digital Manufacturing and Design Innovation Institute, is a partner of UI Labs and the Department of Defense that specializes in the research and development of the latest and most advanced manufacturing technologies. The goal of their showcase is to exhibit innovation and promote digital twin technology in the manufacturing industry.

When successfully implemented, digital twins can visualize the dynamics of IoT to analyze and predict technological problems in the digital world before they occur in the physical one.

DMDII and UI Labs hope to connect not only manufacturing professionals and solutions providers, but also academics and government representatives, to develop solutions for the challenges faced in the implementation of digital twin technologies, as well as figure out how the manufacturing industry can create more fruitful sensor data for analytics.

Predictronics CTO Dr. David Siegel will be presenting our research and collaboration project with DMDII, Northeastern University, FORCAM, and Lockheed Martin.

The project centers around changing the focus of machine health and OEE in the manufacturing industry from a reactive, preventive environment with unexpected failures to a predictive environment with regularly scheduled maintenance opportunities. This would save manufacturers wasted cost and efficiency.

Predictronics has contributed our own PDX software platform to provide predictive maintenance solutions to the project, which will give factories the ability to conveniently schedule machine downtime, and FORCAM, a global leader in IIoT and Industry 4.0, has provided their OEE technologies.

Together, Predictronics and FORCAM created a combined dashboard, which integrates both machine health and OEE. This, itself, is a unique innovation, as most times the measurements are considered independent of one another.

In addition, Northeastern University has aided the project through their maintenance scheduling research, while Lockheed Martin has gifted the teams use of their machine test-beds, which have been essential to the testing and validation of this new manufacturing solution.

Predictronics Senior Data Scientist Matthew Buzza will also be at the showcase exhibiting Predictronics’ predictive analytics and industrial AI solutions.

Other speakers in attendance include representatives from Boeing, Coca-Cola, Siemens, Microsoft, John Deere, and Northrop Grumman.

This work is sponsored in part by the Department of the Army through the Digital Manufacturing and Design Innovation Institute under project DMDII 16-04-01. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Department of the Army.

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