Manufacturing Intelligence

Accelerate innovation with collaboration and real-time contextual awareness

With advances in cloud, machine learning, edge computing, and the Industrial Internet of Things (IIoT), smarter, scalable factory solutions will alter value chains, redefine customer experiences, and create opportunities for new revenue streams.?In a Smart Factory, all relevant data is connected, aggregated, analyzed, and acted on proactively. Sensors, devices, equipment, people, and processes are part of a connected ecosystem. This manufacturing intelligence gives decision-makers a competitive edge by digitizing the business, optimizing costs, improving quality, accelerating innovation, and redefining the customer experience.

What is a Digital Factory?

Connected. Aware. Predictive.? The digital factory combines instrumented physical systems and the IIoT to create an intelligent ecosystem that allows organizations to become real-time situationally aware, predictive, and optimized. Become a digital factory and move from reactive to proactive management of products, processes, machines, and the supply chain.

Connected Intelligence for Smart Factory Insights
Infographic: Manufacturing Intelligence for the Next Industrial Revolution Learn More

Benefits

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.

Customer: Hemlock Semiconductor

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.?

Capabilities

Digital Factory

Improve OEE, reduce costs, optimize mix, and deliver on time with our solutions for manufacturing intelligence. Connect, unify, and analyze data from disparate sources to create a global view to monitor and optimize factories and equipment operations.

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Digital Twins for Yield

With AI and machine learning, you can create digital twin yield models that allow you to continuously capture new relationships as they emerge and improve quality, reliability, and yield.

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Process Control & Optimization

Create univariate and multivariate SPC analysis to monitor process capability across the factory.? Additionally, create AI-based anomaly detection models to proactively monitor and optimize processes in real time.

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Predictive Maintenance

Use machine learning models to help anticipate potential failures before they occur. Avoid incidents and repairs to equipment, assembly lines, or machinery for minimal impact on operations.

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Smart Inventory & Demand Forecasts

Supply chain analytics can help you harness manufacturing intelligence. Forecast demand, manage orders, optimize inventory, track supplier performance, and provide insights into transportation and logistics for smoother operations.