Predictive quality for injection molding
Get proactive with LinePulse
LinePulse uses machine learning and artificial intelligence (ML/AI) on data generated during manufacturing processes such as injection molding, infrared welding, and assembly and test. It uses traditional analysis like SPC along with advanced analytics only possible with ML/AI technologies to detect potential quality issues so that you can intervene quickly to prevent scrap.
Reduce risk during injection molding
Use LinePulse to enhance your data understanding throughout the injection molding process. Process issues and equipment downtime can negatively impact the bottom line. For example, if the molds are partially filled and fail to eject properly, stopping the machine to manually clean out the wasted plastic is time-consuming, costly and unsafe. LinePulse provides you with actionable insights to minimize these risks.
Prepare and share data easily
- Set up data collection from your manufacturing line in hours, not days
- Automate the collection of critical injection molding data
Put your data to work
- Test tighter control limits virtually
- Receive alerts in real time so you can address production issues quickly
Visualize end-to-end processes
- Connect data from different systems and machines
- Automate the generation of
capability metrics
Move to operational excellence
- Analyze the root cause of issues causing scrap
- Gain a holistic approach to continuous quality improvement
Book your LinePulse demo
Enter your contact details to open the calendar where you can schedule your demo easily.
