Manufacturing Analytics

Manufacturing Analytics

Industrial Internet of Things (IIoT) is going full throttle – increasing connectivity, generating data, and unlocking potential like never before. Now it’s time to capitalize on the full power of this data. Altair knows how to take full advantage of data to fuel innovation, drive new opportunities, and accelerate your smart manufacturing transformation.

ABI Research

Data Analytics in Manufacturing

Explore the IIoT data analytics landscape and learn why Altair was named a Top Innovator by ABI Research.

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Enable Data-driven Smart Operations

Altair has spent more than 30 years helping our customers transform product design and decision making by applying simulation, data analytics, and optimization throughout product lifecycles.

Our teams understand the complexities of enterprise manufacturing operations and data analytics. Using our deep expertise in manufacturing and machine learning, we’ve developed solutions to enable people of all skill levels to easily build analytical applications with our low-code platform to 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.

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Predictive Strategy, Proactive Asset Management

The costs of scheduled or unscheduled downtime in manufacturing environments can be detrimental to operations. Altair makes it easy to monitor equipment health in real time and predict failures. We deliver insights organizations need to avoid machine failures and unplanned downtime, increase equipment and production line productivity, and reduce maintenance costs.

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Transform Warranty Processes

The ability to access and accurately transform warranty data from multiple sources is critical, as is the ability to select and 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.

We enable manufacturers to develop, manage, and deploy accurate solutions for warranty analytics including root cause analysis, service pack optimization, and warranty risk profile analysis. Generate insights to help improve product and company reputations, constantly advance product designs, and catch warranty fraud before it becomes a serious issue.

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Weight & Balance Analysis and Optimization

Weight & Balance Analysis and Optimization

Altair® Weight Analytics™ (WA) manages the entire Weight and Balance (W&B) process and gives engineering and management teams the power to control and ensure products meet their W&B requirements. Deployed as a common, enterprise-wide weight management tool, WA helps users make faster, more accurate decisions and gives users the ability to visualize, analyze, and predict W&B on-demand during the entire product lifecycle.

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Featured Resources

Ford Enhances Manufacturing Efficiency

Sheet metal stamping is fundamental to the automotive manufacturing industry. A vast array of different tool, die, and process combinations are employed to create an equally diverse array of components. Traditionally, identifying the optimum approach for each part has been a labor intensive and time-consuming task that requires engineering teams with high levels of skill and experience. This case study demonstrates how Altair Knowledge Studio, a general-purpose data analytics tool, can enable engineering managers and data analysts to deliver clear and quantifiable benefits in the manufacturing domain. For Ford, this is reflected in dramatic improvements in the speed and efficiency with which the best possible sheet metal stamping processes were selected.

Customer Stories

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.

Customer Stories

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.


Continuous Intelligence and the Smart Factory

The presentation will go through a scenario of a smart factory (along the lines of the Industry 4.0 initiative) where a chemical process within a pharmaceutical company produces a substance critical to the production of medications.

Conference Presentations
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