Case Study: Metals and Mining Industry improves steel coil scheduling and processing performance with Seeq Corporation

Metals and Mining Industry - Customer Case Study

Metals and Mining Industry needed better insight into steel coil processing, but its data was split between process historians and relational sources such as product properties. This made it difficult to cleanse, aggregate, and contextualize the data for more accurate scheduling, production goal setting, and troubleshooting. Seeq Corporation helped address this challenge with its analytics platform, including capsule/condition functionality, formula tools, and dashboard reporting.

Seeq Corporation implemented a solution that integrated time-series process data with relational product-property data, and used condition cleansing to compare performance by operator shifts. The team created dashboards to track metrics like coils per hour and loading-step times, which improved scheduling accuracy, surfaced delays tied to operators and product properties, and exposed performance gaps that informed training and staffing decisions. The result was more realistic daily production goals, faster response to processing issues, and a foundation for deeper optimization of sequencing and processing steps.