Optimize output
Chemical production is highly energy intensive industry, typically in distillation columns which import energy. Trying to optimize processes so as to decrease waste and energy consumption or/and increase the yield can benefit from the use of chemometric tools. Regression models for example can determine the possible leverages on the production performance.

Real-time monitoring using multivariate statistics
Capacity expansion is also a challenge that chemical industry needs to tackle. On-line or in-line quality control enables a quicker production and releases of the manufactured products by monitoring in real-time their compliance to standard quality. This is enabled by regression models for quantitative or qualitative analysis or other classification tools such as SIMCA and an online analyser.

Continuously improving processes
The constant changes in technology and available materials are new opportunities for product and process improvement as well as threat to the quality consistency. Fast evaluation of the potential opportunities and adaptation of the process to the selected new parameters is a competitive advantage that is well served by carefully planned experiments (DOE).