Manufacturing Analytics
In today’s fast-paced, competitive manufacturing landscape, data is the key to staying ahead. By harnessing the full potential of data, engineers can make smarter decisions, predict future trends, and quickly adapt to changing demands. Real-time insights optimize processes, reduce downtime, and improve efficiency, ensuring manufacturers stay agile and competitive.
Altair’s manufacturing analytics solutions streamline operations, enhance predictive maintenance, and help teams gather real-time insights – fueling innovation and accelerating your smart manufacturing transformation.
Benefits of Altair’s Manufacturing Analytics Solutions
TRANSFORM RAW DATA INTO ACTIONABLE INSIGHTS
IMPROVE ENERGY MANAGEMENT
OPTIMIZE OVERALL EQUIPMENT EFFECTIVENESS (OEE)
LOWER COSTS
Enable Data-Driven Smart Operations
For 40 years, Altair has helped our customers transform product design and decision-making by applying simulation, data analytics, and optimization throughout the product life cycle.
Our teams understand the complexities of enterprise manufacturing operations and data analytics. Using our expertise in manufacturing artificial intelligence (AI) and machine learning, our low- and no-code analytics solutions enable users of all skill levels to easily build applications and support faster, more effective decision-making.
Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle – from the shop floor to the top floor – for increased value and reduced risk with a comprehensive self-service data analytics and machine learning platform.
Enhance Your Manufacturing Analytics
DIGITAL TWINS
Leverage your data to create digital twins of products and processes that allow you to predict and optimize production systems. By utilizing AI, machine learning, and knowledge graphs, you can build models that offer valuable insights empowering your team to make better decisions and improve results.
SUSTAINABILITY
Tracking energy usage across your production line is crucial for improving efficiency and sustainability. By measuring and reporting an array of environmental data, you can learn what areas need improvement: pinpoint inefficiencies early, reduce waste and energy use, optimize yield, minimize scrap, and more. With Altair’s tools, you can drive both economic and environmental breakthroughs.
AI-DRIVEN ENGINEERING
Digitalizing your data to automate key performance indicators (KPIs) helps your organization lower costs and streamline operations. You can integrate systems such as factory equipment, sensors, and software platforms to gain comprehensive insights that drive continuous improvement. This connectivity improves decision-making, optimizes processes, and enhances efficiency.
Master complex concepts with ease with our Blueprint series, a comprehensive learning initiative that simplifies technical concepts into easy-to-follow modules.
Predictive Maintenance, Proactive Asset Management
Manufacturing downtime – whether planned or unplanned – can be detrimental. Altair simplifies the monitoring of equipment health in real time, providing the insights teams need to predict failures and avoid machine breakdowns.
By utilizing anomaly detection to identify unusual behavior on your production line and monitoring sensors for deviations and trends, Altair helps organizations transition from costly, time-based reactive maintenance to proactive predictive maintenance. This reduces downtime, lowers maintenance costs, and increases productivity. Using statistical modeling and machine learning, you can also forecast the time to failure of non-repairable assets and detect process outliers before failures occur, streamlining operations and improving maintenance strategies.
Transform Your Warranty Analytics
The ability to access and transform warranty data from multiple sources is critical – as is the ability to apply the right machine learning algorithms to understand insights and make data-driven decisions in terms of design, manufacturing, material selection, documentation, or service changes.
Altair enables manufacturers to develop, manage, and deploy powerful solutions for warranty analytics, including root cause analysis, service pack optimization, and warranty risk profile analysis. Generate insights to improve the reputation of products and brands, advance product designs, and catch warranty fraud before it becomes an issue.
How can we support your data-driven smart operations?
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Altair RapidMiner for Automotive
Altair RapidMiner, our data analytics and artificial intelligence (AI) platform, empowers manufacturers to turn the data they gather from their consumers, vehicles, and factories into clear, actionable business intelligence. Data-driven decision-making, guided by these insights, will maximize quality, boost efficiency, increase customer satisfaction, and improve brand loyalty – and fuel innovation as automakers continue to envision the future of driving.
Implement Effective Manufacturing Process Analytics
By extracting real value from their data, manufacturers can make accurate predictions about component life, replacement requirements, energy efficiency, utilization, and other factors that have direct impacts on production capacity, throughput, quality, sales, customer acceptance, and overall efficiency.
Low cost sensors and new wireless connectivity tools enable manufacturers to employ digital analytics more effectively than ever before. With the right tools, they can gather, cleanse, process, and visualize massive amounts of data from disparate sources that cover all phases of the product life cycle, from product design to warranty claims.
This guide explains some of the major challenges involved in applying data analytics to manufacturing processes and the benefits of developing optimized approaches to addressing those challenges.
Analytics for Heavy Equipment
Serba Dinamik is an engineering company specializing in operations and maintenance (O&M), engineering, procurement, construction and commissioning (EPCC), and IT solutions for energy exploration and production firms. Their team worked with Altair to develop a Smart Predictive Maintenance Data System (SPMDS) utilizing Knowledge Studio and Panopticon. Maintenance crews use Panopticon-powered dashboards built into SPMDS to monitor every sensor mounted on operating turbines in real time. AI models built with Knowledge Studio identify potential failures or issues that require engineering attention, and, based on that understanding, take turbines offline only when necessary.
Accelerate Data-driven Smart Operations with Altair Manufacturing Analytics
Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - with self-service data analytics and machine learning solutions.
