Process intensification offers the potential to drastically reduce the energy consumption and
cost of producing chemicals from both bulk and distributed feedstocks. This review article …

Energy is a key driver of the modern economy, therefore modeling and simulation of energy
systems has received significant research attention. We review the major developments in …

This paper presents a fuzzy bi-objective bi-level model with a price-dependent demand for
the network design of a closed-loop supply chain in the presences of random disruptions at …

We address an intra-supply chain competition where a producer and resellers competing to
achieve their goals, while taking into consideration the uncertainties and disruption risks. We …

According to the increasing penetration of microgrids (MGs) in power systems, the design
and implementation of these new emerged structures are under the question of planners …

The main purpose of operational flexibility analysis is to determine and describe the
flexibility region. The existing methods are mainly developed by numerical calculation …

We present a methodology for computing the flexibility index when uncertainty is
characterized using multivariate Gaussian random variables. Our approach computes the …

A novel robust optimization framework is proposed to address general nonlinear problems
in process design. Local linearization is taken with respect to the uncertain parameters …

Feasibility analysis has been developed to evaluate and quantify the capability that a
process can remain feasible under uncertainty of model inputs and parameters. It can be …

This paper considers an optimal control problem of chemical processes with a novel
piecewise state-feedback controller. Firstly, the chemical process optimal control problem is …