This paper considers the problem of multisite integration and coordination strategies within a
network of petroleum refineries under uncertainty and using robust optimization techniques …

One approach to process design with uncertain parameters is to formulate a stochastic
MINLP. When there are many uncertain parameters, the number of samples becomes …

The cutting stock problem (CSP) is one of the most fascinating problems in operations
research. The problem aims at determining the optimal plan to cut a number of parts of …

One of basic concepts of the well-known simplex optimization method is that from the current
simplex set of points (solutions) a new point–reflection is constructed. The reflection point is …

In this paper, a novel hybrid parametric/stochastic approach for the solution of stochastic
mixed-integer problems is introduced. The approach, based on a two-stage stochastic …

Mathematical programming has long been recognized as a promising direction to the
efficient solution of design, synthesis and operation problems that can gain industry the …

The process engineering domain makes an interesting application area for grid
technologies as problem solving generally involves multiple software and data resources …

Energy systems are the major contributor to ever-increasing primary energy consumption
and consequent greenhouse gas emissions. To tackle these critical problems, planning and …

The presence of uncertainty in product demands of batch plant design formulations with
fixed structure and continuous equipment sizes transforms them into large-scale nonconvex …

This paper addresses the class of nonlinear mixed integer stochastic programming
problems. In particular, we consider two-stage problems with nonlinearities both in the …