Case Study: Huntsman achieves 24-hour engineering support and improved product quality with TrendMiner self-service analytics

How Huntsman used TrendMiner self-service analytics in its digitalization evolution and production optimization to establish 24-hour engineering support

Huntsman, a family-led global manufacturer of differentiated and specialty chemicals, faced a shift from experience-driven to data-driven operations: process engineers relied on experience to interpret sensor data while data scientists used algorithms, creating a skills and workflow gap that limited use of time-series data. To overcome this and standardize adoption across mindset, method, and management, Huntsman partnered with TrendMiner and deployed TrendMiner’s self-service industrial analytics to democratize analytics for process experts.

Using TrendMiner, Huntsman enabled process experts to build soft sensors, create batch fingerprints, and run DMAIC analyses themselves, delivering 24-hour engineering support and faster root-cause investigations. The solution cut expensive off-spec weekend transports by 75%, reduced lead time by several hours, lowered uncertain lab situations by about 10%, reduced off-spec batches, and allowed quality fixes to be identified and confirmed within days—improving process and asset reliability and overall plant safety.

Huntsman

Jasper Rutten

Advanced Analytics Manager and Global Excellence Team Member