To optimize, digitize
When it comes to speeding your time-to-market, lowering risk and improving efficiencies, insights are everything. That’s where digital manufacturing comes in. From sensors to IoT platforms like iENBL and data management solutions that incorporate advanced analytics, machine learning and failure analysis, our capabilities and expertise span the entire digital manufacturing ecosystem. We’re continuously gathering data using connected cells that stack up to a closed-loop system for improved manufacturing performance.
Our deep knowledge of sensors, connectivity solutions, and cloud and edge computing tap you into the visibility and agility of smart automation. We work to monitor machine health, identify process improvements and increase safety so you can reduce downtime and fuel data-driven decision making for your business.
Real-time visibility and control
We deliver real-time analytics and control through an end-to-end approach to the industrial internet of things (IIoT) ecosystem. Get a complete picture of smart factory operations through 13 industrial sensors that measure vibration, humidity, temperature and pressure, as well as video, optics, and much more.
With dedicated research efforts that define rulesets for new automation developments, we’re constantly exploring new ways of sensing and improving automation. We can also process, enrich, connect, compute and store data through gateways, extract, transform load (ETL) processes, extensive connectivity knowledge, access to cloud technologies, and artificial intelligence (AI) and machine learning (ML) capabilities.
Across all our manufacturing operations, we use simulation. What can the digital factory tell us? Through an integrated approach to digitally testing production lines, products and more, we can make sure the right designs, equipment and processes are in place without affecting time, resources or capital in the real world. For you, that means faster product startups, improved yields and reduced ramp costs.
Say no to failure
Stamp out equipment failure before it affects your bottom line through machine-to-machine (M2M) communications. By leveraging AI and ML tools for predictive analytics on test data, you can more precisely identify root cause of failures - or even predict failure before it occurs. Stay ahead of disruption, minimize downtime and increase comprehensive safety on the factory floor through the support of our advanced analytics.
See how we used discrete event simulation and a digital twin to optimize the manufacturing of a Class II diabetes product.
During the COVID-19 crisis, our more than 50 years of resiliency served us well. Our ebook details the invaluable lessons we learned.