Temperature Monitoring and Prediction in Biopharmaceuticals
We helped a biopharma leader achieve 70% reduction in temperature deviations during lyophilization.
How to Transform Maintenance in the Chemical Industry with Predictive Analytics
How to Transform Maintenance in the Chemical Industry with Predictive Analytics
How to Transform Maintenance in the Chemical Industry with Predictive Analytics
How to Transform Maintenance in the Chemical Industry with Predictive Analytics
How to Transform Maintenance in the Chemical Industry with Predictive Analytics
How to Transform Maintenance in the Chemical Industry with Predictive Analytics
How to Transform Maintenance in the Chemical Industry with Predictive Analytics
How to Transform Maintenance in the Chemical Industry with Predictive Analytics
How to Transform Maintenance in the Chemical Industry with Predictive Analytics
Production stoppages are a significant headache in the chemical industry. Just one unplanned halt can destabilize the entire operation. This was the problem faced by a leading German chemical company. The culprit was scaling—an unwanted material build upon reactor surfaces that stopped production and increased costs. The challenge was clear yet critical: predict when scaling would reach a level requiring maintenance and do so early enough to avoid an unplanned shutdown.
The reactor, a vital part of the production process, would develop scaling over time, reducing efficiency until a complete shutdown was needed for cleaning and maintenance. Although the frequency of these stoppages is low, their impact is substantial, and knowing when one might occur is necessary for the risk of increased costs to stay manageable.
There was a need for a way to anticipate this problem and plan reactor maintenance, ideally months in advance. This would allow the company to schedule downtime on its terms, minimizing the number of unplanned stops and the chaos they cause.
Our AI-driven solution transformed raw process data into autonomous optimization in real-time. It was not just automation, but manufacturing that thinks ahead.
AG Solution's team of experts developed a solution aimed at making a seemingly unpredictable problem predictable:
The impact of this solution was almost immediately apparent:
This project illustrates how predictive maintenance can revolutionize industrial operations. By combining real-time data with intelligent algorithms, companies can anticipate problems before they occur, keeping production lines running and avoiding costly downtime.
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