Hello 

Operational efficiency is crucial for maintaining productivity and reducing costs in any manufacturing process. LyondellBasell faced significant operational challenges, resulting in production losses and high maintenance costs. Their previous campaigns were inconsistent, with varying operational issues making it impossible to directly compare past datasets. To address these issues and prepare for future campaigns, they needed a reliable baseline.

Fortunately, TrendMiner's MLHub was instrumental in addressing these issues.

How TrendMiner helped?

• Analyzing past campaigns
• Identifying process variables that impact reactor performance
• Building regression models to identify performance independent of unit operational mode/regime

Additionally, it has been key in helping to generate comprehensive reports, streamlining data-driven insights for improved decision-making.

For more information, watch the recording of the presentation by Sean Heffernan (​@smheffer) and Joe Zimny at TrendLab US:

If you have any questions, please reply to this post. Enjoy!