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Robert Rice, Ph.D., is the vice president of engineering at Control Station. He is Control Station’s thought leader, and he has published extensively on topics associated with automatic process control, including multi-variable process control and model predictive control.
For an edible oil processor, the best way to efficiently manage unique characteristics of different products was by adopting modern control loop performance monitoring software with the ability to recognize different operating states.
Most manufacturing operations are constantly faced with change, and therefore they must be designed to adapt. Change routinely presents itself in the form of different production recipes, varying material properties, irregular equipment availability, weather extremes and many other factors. What’s more, change often includes several of these variables concurrently, and each may interact with others—adding still more complexity.