Topic Track: MDA 
Session Topic: Reduce Per Unit Production Cost with Conditional Monitoring and Machine Tool Analytics

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.


Siemens industrial manufacturing software, process automation, and automation drives technology, increases flexibility, cuts market launch lead time, and significantly reduces energy or wastewater costs for manufacturing companies. The result is increased sustainability for our customers, while driving their competitive strengths. IMTS 2018 Booth #134500 & #134502
www.usa.siemens.com/cnc