PREDICTRONICS TO HOST AUTOMOTIVE MANUFACTURING CASE STUDIES WEBINAR
MAY 12, 2020
In automotive manufacturing, just one minute of production downtime can cost a company approximately $10,000. Industrial robot failures alone can potentially cost companies $300,000 per robot, based on an average downtime of 30 minutes per failure.
With predictive solutions, automotive suppliers and manufacturers can forecast the degradation of critical assets, such as industrial robots and press machines, to prevent unforeseen downtime, extend and optimize maintenance windows, eliminate production bottlenecks, and reduce product quality issues. These solutions optimize productivity, prevent wasted resources, reduce warranty claims and recalls, and increase profit margins.
On May 21, 2020 at 2 p.m. EST, Predictronics CTO Dr. David Siegel and Senior Data Scientist Matthew Buzza will host a webinar, entitled Successful Deployments of Predictive Maintenance Solutions in Automotive Manufacturing.
In this webinar, Dr. Siegel and Mr. Buzza will showcase how predictive solutions are configured and deployed, as well as how these solutions create real-world impact within the industry.
Predictronics has provided many predictive solutions for clients in the automotive and automotive supplier industries. One such solution, implemented using our end-to-end predictive platform PDX and developed for global wheel manufacturer Maxion Wheels, received the 2019 Artificial Intelligence and Analytics Award from the National Association of Manufacturers.
Our webinar will feature three of these successful Predictronics projects in automotive manufacturing. The case studies in predictive maintenance will highlight three key assets, including industrial robots, stamping presses, and roll forming machines. A demonstration of one of these solutions will also be presented.
This 30-minute webinar is perfect for busy professionals within the industry who want to learn how predictive analytics and Industrial AI can add value to their company, from manufacturers and suppliers to OEMs and equipment end users. Ideally, those who would benefit the most from this are Plant Managers, Maintenance Managers, Technology Directors (IIoT, Industry 4.0, Other), and other relevant technical leaders and decision-makers.
Join us to learn how you can utilize predictive solutions to optimize production and reduce unplanned downtime in your automotive manufacturing operations.
To register for the webinar, click the link below:
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