LinePulse: Your predictive quality analytics software solution
Predictive quality analytics for precision automotive manufacturers
The Industry 4.0 solution to manage automotive quality
LinePulse helps precision manufacturers address problems on the shop floor before they impact production… and find the root cause of issues fast. Engineers and managers can finally stop firefighting one issue after another, and work proactively to manage quality.
Improve quality and first time through
Reduce scrap and rework
Accelerate root cause analysis
Leverage the power of machine learning and artificial intelligence
LinePulse uses machine learning to analyze manufacturing and test data from different equipment and systems. It provides actionable insights to your quality and engineering teams, helping them identify potential quality issues easily, determine the root causes of problems quickly, and address quality problems on the manufacturing floor proactively.
LinePulse is the only predictive quality analytics software solution powered by machine learning and artificial intelligence and purpose-built for precision manufacturers in the automotive and off-highway industries.
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Predictive quality analytics work in real time
By keeping a constant pulse on the health of your manufacturing in real time you can:
- Predict quality issues before they impact production
- Act proactively to prevent costly quality spills
- Automate root cause analysis using the data you’ve already collected
- Stop spending all day troubleshooting one problem after another
Simplify quality with predictive quality analytics
Connect all your manufacturing data easily
- Set up manufacturing data collection for predictive quality analytics in hours, not days
- Use our interactive view for flexible, no-code data ingestion
- Label data fields, and map your station, signal, and limit data
- Add or change data inputs when your process changes
Use one dashboard for manufacturing quality predictions and SPC data
- View process and quality data from different machines and systems
- Access both SPC data and advanced quality analytics
- Automate reporting of capability metrics
- Share data quickly with OEM customers
Get alerted about quality issues in real time
- Machine learning algorithms analyze manufacturing data in real time, … instead of manually compiling data in Excel or Minitab
- Monitor groups of signals in real time to understand complex problems with many variables
- Configure alerts to get notified of the problems you care about most
Automate root cause analysis
- Machine learning algorithms instantly calculate the most likely causes of a defect in a prioritized list
- Remove unrelated signals from the list to improve the results
- Engineers can focus on solving problems, not analyzing data
- Save hours of manual data collection, sorting, and analysis
Book a LinePulse demo
Enter your contact details to open the calendar where you can schedule your demo easily.
Predictive quality analytics in action
Predictive quality analytics for leak testing in EV batteries
Predictive quality analytics for Injection Molding
Reducing rework in axle manufacturing
Here are preliminary answers to the questions we hear most often about LinePulse and predictive quality.
SPC is used for analyzing processes but it wasn’t designed to help a manufacturer improve part quality. It’s also not great at catching random anomalies and it won’t catch all defects. SPC control limits are tight so it can also mean good parts will fail.
The predictive quality analytics in LinePulse provide additional value over SPC using machine learning and artificial intelligence. LinePulse collects data from systems across the manufacturing plant and provides a consolidated view of manufacturing data, including insights on quality that you can’t get from SPC alone.
The Capability Metrics view in LinePulse provides a traditional-looking SPC dashboard which allows manufacturing teams to streamline reporting requirements and dive into data using familiar approaches. The Anomaly Detection functionality can catch changes in signals or drift in sensor data where traditional SPC methods would fail. LinePulse doesn’t need to replace SPC – it leverages and supplements SPC.
Some manufacturers have data science teams that work with their manufacturing data to help solve specific production and process issues. These teams tend to be model-centric meaning they often use custom machine learning models to analyze and solve one-off problems. It also means they determine the causes of problems and the solutions after the issues have already occurred. Unfortunately, this method of data analysis is not scalable. A new model must be built for every new issue encountered, and it can take weeks to find a solution after a problem occurs. This is time-consuming, labour-intensive, and inefficient over the long term.
LinePulse is a scalable predictive quality analytics software solution for precision manufacturers that gives line engineers, quality personnel, and equipment operators real-time visibility into production. It provides the information your team needs to act on issues immediately so you can find quality problems proactively and fix them easily.
We designed our predictive quality analytics software solution for quality engineers and line operators, not data scientists. LinePulse uses machine learning and artificial intelligence (ML/AI) to identify defects that were previously hard to find. But, the analytics capabilities are built into LinePulse and it performs the predictive quality analytics on your manufacturing data behind the scenes.
You don’t need data scientists to set up or troubleshoot LinePulse. For LinePulse to make an impact in your manufacturing plant, all it needs is accurate and accessible manufacturing data. Our team can assist you in determining whether your manufacturing data sources are sufficient for the predictive quality analytics that LinePulse can provide.
LinePulse provides actionable insights to a manufacturer about production and part quality in real time. It is designed it to provide a constant pulse on the overall health of a manufacturing plant or line. As soon as something happens on your manufacturing floor, LinePulse learns about it because it uses data from across your plant. Then, it gives you visibility into your data and uses predictive quality analytics to tell you where to look to find and fix problems.
We harness the massive computing power of the cloud to process large amounts of manufacturing data and use machine learning algorithms to perform predictive quality analytics on that data. Storing your data on the cloud is the safest and most efficient way to run a predictive quality analytics solution. Your data will be fully secure.
And – because LinePulse is a SaaS (Software as a Service) solution – we can push continuous improvements to you through the cloud as we add new innovations to the product and you will always have the latest version of LinePulse. Cloud connectivity also gives you the ability to share your manufacturing data between different plants, regardless of their location. So, the cloud has a lot to offer you, the manufacturer, and us, the predictive quality analytics company. That’s a win-win in our books.
Interested in predictive quality analytics?
Stop wasting time tracking down the causes of production issues. LinePulse is the intelligent, predictive quality solution for manufacturers powered by machine learning and artificial intelligence. It detects anomalies and suspicious patterns between seemingly unrelated signals on your manufacturing line and alerts you when it predicts a potential quality problem.
Get ahead of the curve. Arm yourself with the actionable insights you need to troubleshoot quality issues quickly.