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A Review of Stochastic Programming Methods for Optimization of Process Systems Under Uncertainty
2021
Frontiers in Chemical Engineering
Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent advances of a risk-neutral mathematical framework called "stochastic programming" and its applications in solving process systems engineering problems under uncertainty. This review intends to provide both a tutorial for beginners without prior experience and a high-level overview of the current
doi:10.3389/fceng.2020.622241
fatcat:32gnbbfemrh6hlbrcorxvnrksa