The Benders decomposition algorithm has been successfully applied to a wide range of
difficult optimization problems. This paper presents a state-of-the-art survey of this algorithm …

This paper presents a tutorial on the state-of-the-art software for the solution of two-stage
(mixed-integer) linear stochastic programs and provides a list of software designed for this …

We study the integrated optimization of location, inventory and routing in supply chain
network design (SCDN) problem. The SCND decision has significant impact on the …

Many methods that have been proposed to solve large-scale mixed integer linear
programing (MILP) problems rely on decomposition techniques. These methods exploit …

In this paper, we propose an improved L-shaped method to solve large-scale two-stage
convex 0–1 mixed-integer nonlinear stochastic programs with mixed-integer variables in …

Practical solution of stochastic programming problems generally requires the use of parallel
computing resources. Here, we describe the open source package mpi-sppy, in which …

This paper develops a two-stage stochastic mixed integer linear programming model to
optimize Carbon Capture, Utilization and Storage (CCUS) supply chains in Italy, Germany …

Optimization models in the chemical process industries often include uncertain model
parameters due to uncertainties in market forces and the environment, use of reduced-order …

Two-stage stochastic mixed-integer linear programming (MILP) problems can arise naturally
from a variety of process design and operation problems. These problems, with a scenario …

This paper presents a tutorial on the state-of-the-art methodologies for the solution of two-
stage (mixed-integer) linear stochastic programs and provides a list of software designed for …