In this work, we propose a new optimization model for gas processing plant under uncertain
feed flow rate and composition. Deterministic model has initially being formulated; …

This paper reports how the economic performance of a chemical process plant is affected by
material flow uncertainties from the plant inlet and outlet. Two chance-constrained …

In this thesis, new approaches for chance constrained programming of large scale nonlinear
dynamic systems under time-dependent uncertainty are introduced. The stochastic nature of …

Optimization under uncertainty is considered necessary for robust process design and
operation. In this work, a new approach is proposed to solve a kind of nonlinear optimization …

Among various preventive uncertainty handling techniques, chance constrained
programming (CCP) has gained a considerable interest in recent times due to certain …

An approach for chance constrained programming of large-scale nonlinear dynamic
systems is presented. The stochastic property of the uncertainties is explicitly considered in …

Uncertainties may have a large impact on equipment decisions, plant operability, and
economic analysis. Thus the consideration of uncertainties in optimization approaches is …

Uncertainty in parameters is increasingly considered in the optimization of design and
operation of chemical process systems. A possible approach solving such optimization …

Deterministic optimization literature classifies problems as Linear Programming (LP),
NonLinear Programming (NLP), Integer Programming (IP), Mixed Integer LP (MILP), and …

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 …