In this paper, we present a review of deterministic software for solving convex MINLP
problems as well as a comprehensive comparison of a large selection of commonly …

In this paper, we survey the main superstructure-based approaches in process system
engineering, with a particular emphasis on the existing literature for automated …

Process intensification (PI) is a rapidly growing field of research and industrial development
that has already created many innovations in chemical process industry. PI is directed …

Energy systems and manufacturing processes of the 21st century are becoming increasingly
dynamic and interconnected, which require new capabilities to effectively model and …

Current and future challenges of optimization in the process industry are discussed. The gap
between academic research and industrial workflow is analyzed. Moreover, issues arising …

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 …

Abstract Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that
addresses nonlinear problems with continuous and integer variables. MINLP has proven to …

In this paper, we present a brief overview of enterprise-wide optimization and challenges in
multiscale temporal modeling and integration of different models for the levels of planning …

In this work, we address the modeling and solution of mixed-integer linear multistage
stochastic programming problems involving both endogenous and exogenous uncertain …

The adequate correlation of experimental phase equilibrium data by using any
thermodynamic model represents a key point for the rigorous design of the chemical …