In this paper, the MINLP problem for the optimal synthesis of process networks is modeled
as a discrete optimization problem involving logic disjunctions with nonlinear equations and …

This paper presents first a brief overview of the considerable work that has been performed
for the systematic synthesis of process flowsheets and corresponding subsystems. Next, it is …

This paper presents several models for the optimal scheduling of testing tasks in the new
product development process of an agricultural chemical or pharmaceutical company. In …

This paper addresses the optimization of process models that involve discontinuous
investment cost functions with fixed charges and are defined over several regions for the …

In this paper we propose a method for the integrated scheduling and design for a special
class of multipurpose batch proceses. The type of plants considered are the ones where not …

This paper presents an overview of the mathematical programming approach for process
synthesis. First, the methods for process synthesis are reviewed with an emphasis on …

This paper presents a new, real-world scheduling problem concerning the New Product
Development process of an agricultural chemical or pharmaceutical company. A Research …

This paper considers the solution of systems of equations that are expressed by the two sets:
a global rectangular system of equations involving more variables than equations, and a set …

In this paper the MINLP problem for the optimal synthesis of process networks is modeled as
a discrete optimization problem involving logic disjunctions with nonlinear equations and …

This thesis deals with Generalized Disjunctive Programming (GDP) models and solution
techniques for the optimization of process flowsheets. GDP is a natural framework for …