Increase Efficiency & Reduce Costs
Improve overall equipment effectiveness (OEE), reduce defects, and improve quality by using analytics, machine learning, and multivariate statistical process control (SPC) to analyze huge amounts of machine data from multiple, disparate sources. Discover production faults, monitor product quality, anticipate events, and act in real time to reduce production and operating costs.
Improve Quality, Reliability, and Yield
Quality issues can be expensive if not caught early. Automate digital-twin machine learning, root cause, and Six Sigma analysis to find anomalies and proactively adjust processes. Use Design of Experiments to accelerate product introductions. Warranty analytics allows early discovery of reliability issues, identification of fraudulent claims, and cost recovery from suppliers.
Eliminate Rework, Maintain Process Control
With manufacturing intelligence and proliferating IoT devices and protocols, there is a continuous stream of data. Quickly operationalize these streams with real-time monitoring and predictive models. Reduce variability your most complex processes with univariate, multivariate, and artificial intelligence (AI) process controls. Avoid rework and respond in real time to changing conditions.
Predict, Eliminate Unplanned Downtime
With instrumented assets, condition monitoring is no longer enough to remain competitive. By aggregating and continuously analyzing IoT sensor and equipment data, you can gain real-time awareness of asset conditions. Take it one step further and build machine learning models to monitor and predict potential failures to lower maintenance costs and prevent production downtime.
Build an Intelligent, Digital Supply Chain
With digitally enabled processes, use real-time intelligence to understand and proactively respond to changing customer and supplier demands. Create a smart inventory, match demand in real time, monitor supplier performance, and optimize transportation and logistics with manufacturing intelligence.
Manage Risk and Compliance in Real Time
Ensure the safety, value, and quality of products by proactively managing risk and compliance. Streamline processes, proactively monitor and evaluate the efficacy of corrective actions, and automatically generate compliance reports for regulatory agencies. With a collaborative platform, reduce cost and impact of noncompliance disruption.
Digital Twins for Yield
Process Control & Optimization
Smart Inventory & Demand Forecasts
Attain the agility to integrate & expose your data, apps, and devices to your entire ecosystem