This article first reviews recent developments in process synthesis and discusses some of
the major challenges in the theory and practice in this area. Next, the article reviews key …

In this paper we present a review on the latest advances in logic-based solution methods for
the global optimization of non-convex generalized disjunctive programs. Considering that …

Malicious attackers often scan nodes in a network in order to identify vulnerabilities that they
may exploit as they traverse the network. In this paper, we propose that the system …

In the face of lower margins, stiffer competition, and ever more stringent product and
environmental specifications, petroleum refineries have increasingly relied on optimization …

Pipelines represent the most cost‐effective way of transporting large quantities of refined
petroleum products over large distances but can be challenging to operate. In this article, we …

Shale gas has emerged as a potential resource to transform the global energy market.
Nevertheless, gas extraction from tight shale formations is only possible after horizontal …

Continuous-time scheduling models for multiproduct pipelines typically view the contents of
a pipeline as a set of batches. It facilitates tracking batch coordinates but prevents rigorously …

This paper presents a new continuous-time mixed-integer linear programming formulation
for scheduling pipeline systems transporting liquid products. It is a generic formulation with …

A general modeling framework for mixture design problems, which integrates Generalized
Disjunctive Programming (GDP) into the Computer-Aided Mixture/blend Design (CAM b D) …

Abstract A Generalized Disjunctive Programming (GDP) model for the optimal multi-period
production planning and stock management is proposed in this work. The formulation is …