ProcessMiner is a decision automation platform that uses real-time artificial intelligence

We help reduce energy consumption, raw materials and chemicals usage.
1

DATA ASSESSMENT

Ensures you’re collecting clean, relevant and actionable data.
2

MODELING & LEARNING

Applies advanced data science and machine learning techniques to your manufacturing process to find insights and impact ROI.
3

MONITORING & PREDICTION

Predicts performance measures and identifies improvement opportunities.
4

RECOMMENDATION

Easy to read suggestions for minimizing variability in your manufacturing process through improvement preventative and corrective actions.
5

OPTIMIZATION

Continual improvement that optimizes process performance and variability.

DATA ASSESSMENT

Ensures you’re collecting clean, relevant and actionable data.

The first step in the optimization process is to access the historical data and analyze it. The analysis will determine if the data collected is “clean” or whether any adjustments need to be made.

The right sensors must be placed in the right locations, transmitting their data and relaying the information back to a server where a database stores the records. Some manufacturers may collect data from hundreds of sensors but they use only a portion of the information.
For example, the data assessment may uncover the need to replace a faulty sensor, or discover a gap in the data collection that needs to be filled. The data scientists at ProcessMiner™ help to translate the analysis of the historical data and determine the information is useful and trust-worthy.

Data Assessment
Modeling and learning

MODELING & LEARNING

Applies advanced data science and machine learning techniques to your manufacturing process to find insights and impact ROI.

With actionable data in hand, the next step is to learn from the data. Our data scientists create models for finding and predicting the relationship between all the variables.

Our unique models are able to predict the quality parameter in real time. This impacts operation efficiency and product quality.
Modeling allows analysis of the manufacturing process without altering the real-life operations. It permits our data scientists to test theories of how the manufacturing process might change if certain elements such as temperature and pressure are adjusted. This extremely challenging process is rendered into simple tasks thanks to our unique machine learning system. Our models specifically target ways to increase your ROI and downtime during your daily process.

MONITORING & PREDICTION

Predicts performance measures and identifies improvement opportunities.

With the modeling in place, the process moves to the forward-thinking prediction phase where machine-learning uses data from production manufacturing to forecast what will happen during the production..
Our real-time monitoring uses artificial intelligence running in the background to predict the outcomes in the future. Our system is predictive and not reactive.
ProcessMiner provides plant owners and operators with real-time actionable recommendations to improve operational efficiency and product quality.

Monitoring and Prediction
Recommendation for improving manufacturing process

RECOMMENDATION

Easy to read suggestions for minimizing variability in your manufacturing process through improvement preventative and corrective actions.

For recommendations, operators have access to web-based interfaces that display data generated by the ProcessMiner platform.

On the screen, the operators can view several key performance metrics along with suggestions for adjusting certain inputs to improve results. The recommendations are provided based on their potential impact and are regularly updated during the production run.

If the operator decides to implement the recommendation, the alert disappears once the system recognizes the change and observes an improvement in the manufacturing process.

With each observation, adjustment and recommendation, the ProcessMiner machine learning program gains more knowledge of the manufacturing process and uses this data to make future predictions and forecasts. In fact, it uses this knowledge to optimize the process over time.

OPTIMIZATION

Continual improvement that optimizes process performance and variability.

Our platform gets smarter over time. It’s machine learning and artificial intelligence adjust for the constantly changing data that the sensors relay from the manufacturing processes. Because the data and the manufacturing conditions continue to change, the analysis and recommendations must be ongoing if the system is expected to provide predictions for the future.
Each improvement raises the bar for ProcessMiner™. Thanks to the decades of manufacturing experience on our team, the ProcessMiner™ platform to continually evolves and improves.
The finished state is a fully-integrated system that delivers ongoing solutions within a dynamic environment.

AI Optimization in manufacturing

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