IIC 2018 Conference: Reduce Per Unit Production Cost with Conditional Monitoring and Machine Tool Analytics

IIC 2018 Conference: Reduce Per Unit Production Cost with Conditional Monitoring and Machine Tool Analytics

Learn about how your company can improve machine performance with data-driven intelligence

Subscribe
August 15, 2018
Edited by Michelle Jacobson
IMTS/Events

Plan to attend The IIC 2018 Conferences to gain deeper insights into new manufacturing technologies and ideas!

About the topic 

Today’s machine builders and users face many challenges to stay competitive and sustainable into the future. The high complexity of machine tools combined with ambitious productivity and efficiency targets require additional transparency to detect (and avoid) possible areas for unplanned downtime and optimized processes. Having the right data at your fingertips to support machine tool program execution is essential for a successful operation. Data-driven intelligence coupled with cloud-based analytics, better response times to machine tool alarms, and quicker recovery from unplanned downtime are a few features available to improve machine performance. Join this session to learn how your company can benefit from data-driven intelligence and see a live demonstration of machine tool analytics using Siemens’ open IoT operating system, MindSphere.

Registration is now open, so check out the IMTS 2018 website for more information. 

Meet your presenter 

Vinicius Strey has been with Siemens for more than 10 years and is currently a digitalization consultant with Siemens Motion Control Services group. Strey supports asset owners to overcome challenges and get the best value from opportunities enabled by industrial digitalization in the machine tool environment. Previously, he worked with industrial security services and Siemens’ cloud-based platform, MindSphere.