Statistica
42 Case Studies
A Statistica Case Study
Česká rafinérská, the Czech Republic’s largest crude oil processor and refined-products producer (a joint business of Unipetrol, Eni and Shell), needed a more advanced way to monitor product quality and predict process changes than the basic tools it had been using. The refinery required software that could handle large volumes of measurements—temperature, density, viscosity and other inputs—to ensure final products met specifications and to optimize production scheduling.
The company implemented STATISTICA (Base and Standard Cz) plus the STATISTICA Automated Neural Networks (SANN) with Code Generator. Deployment was quick and required little training; supplier support was professional and minimal. The tools now enable consistent quality control, immediate composition estimates, better production-volume forecasting and ongoing cost reductions through improved process prediction and scheduling.