Introduction
Process manufacturing corporations are constantly striving to optimize their equipment efficiency, productivity, and profitability, while adhering to relevant regulations. One of the most efficient ways to achieve this is by transforming process data into actionable insights. Quality & Process Optimization makes it possible for process and asset engineers to predict process behavior without the need for a data scientist. They can leverage their expertise to proactively solve potential production issues before they arise. By utilizing process evolution, early warnings can be generated and extended to predictive maintenance. The captured events and prescriptions from the engineers can provide the organization with appropriate instructions on when and how to schedule the work.
Features
- 01
Monitor & Automate Knowledge Capturing
Guard : prevent repeated production issues by guarding your live data
Learn : With the ability to automatically annotate and label events, lessons from the past can be captured and shared. Abnormal situations can be avoi
- 02
Process Discovery Accelerated & Analyze Processes
Use AI technology to find critical process parameter in a range of unique features and find the root cause of deviating behaviors to help avoid them in the future and improve overall performance
- 03
Predictive Analytics
Quality & Process Optimization enables early warning detection of abnormal and undesirable process events by comparing saved historical patterns with live process data. The software calculates possible trajectories of the process and predicts process variables and behavior before they happen
Demonstration
Surface Mount Technology
Quality & Process Optimization can be used to improve assembly line performance by optimizing the placement of components and improving the soldering process, resulting in improved product quality and reduced production costs
Mechanical industry
Quality & Process Optimization can be used to improve manufacturing processes, such as machining, welding, and assembly, to reduce cycle times, improve product quality, and increase yield
Petrochemical refining industry
Quality & Process Optimization can be used to optimize the refining process to improve product quality, reduce waste, and increase profitability
Chemical industry
Batch Analytics Engineers can analyze good and bad batches to reduce cycle time and improve product quality