An Uncertainty Management Framework for Industrial Applications

Abstract 

Uncertainty affects industrial systems in many ways. It may describe the amount of system variability. It may influence the way we make decisions. This paper provides a novel framework that maps the effects of uncertainty to existing mathematical methods. In addition, new techniques to assess, adjust and abate parametric uncertainty are presented. Due to the computational burden associated with solving uncertain models of large-scale industrial processes, some simplification techniques may be required, including scenarios with the different parameter realizations. Issues regarding scenario generation, comparison, assessment, management and practical implementation are also discussed.