Mathematical Programming Techniques for Optimization under Uncertainty and Their Application in Process Systems Engineering

On the relation between flexibility analysis and robust optimization for linear systems

(2016) Qi Zhang et al.   AICHE JOURNAL

An adjustable robust optimization approach to scheduling of continuous industrial processes providing interruptible load

(2016) Qi Zhang et al.   COMPUTERS & CHEMICAL ENGINEERING

Recent advances in mathematical programming techniques for the optimization of process systems under uncertainty

(2016) Ignacio E. Grossmann et al.   COMPUTERS & CHEMICAL ENGINEERING

Air separation with cryogenic energy storage: Optimal scheduling considering electric energy and reserve markets

(2015) Qi Zhang et al.   AICHE JOURNAL

Data-driven construction of Convex Region Surrogate models

(2015) Qi Zhang et al.   OPTIMIZATION AND ENGINEERING

Data-driven multi-stage scenario tree generation via statistical property and distribution matching

(2014) B.A. Calfa et al.   COMPUTERS & CHEMICAL ENGINEERING

Evolution of concepts and models for quantifying resiliency and flexibility of chemical processes

(2014) Ignacio E. Grossmann et al.   COMPUTERS & CHEMICAL ENGINEERING

Design of Resilient Supply Chains with Risk of Facility Disruptions

(2014) Pablo Garcia-Herreros et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A new decomposition algorithm for multistage stochastic programs with endogenous uncertainties

(2013) Vijay Gupta et al.   COMPUTERS & CHEMICAL ENGINEERING

Solution strategies for multistage stochastic programming with endogenous uncertainties

(2010) Vijay Gupta et al.   COMPUTERS & CHEMICAL ENGINEERING

A projection-based method for production planning of multiproduct facilities

(2009) Charles Sung et al.   AICHE JOURNAL

Primal and dual linear decision rules in stochastic and robust optimization

(2009) Daniel Kuhn et al.   MATHEMATICAL PROGRAMMING