Session: Decision-Making for Industrial Process Systems

Modern methods for mathematical programming and uncertainty quantification, along with availability of robust implementations have enabled wider use of systems ideas for decision-making in the chemical industry. We invite contributions on the use of process systems engineering concepts in current industrial practice. Emphasis will be on the use of statistical, optimization, and simulation techniques for improvement of process, plant, and site-wide operations. Presentation of real-world industrial case studies is highly encouraged.