A tutorial review of economic model predictive control methods

M Ellis, H Durand, PD Christofides - Journal of Process Control, 2014 - Elsevier
An overview of the recent results on economic model predictive control (EMPC) is presented
and discussed addressing both closed-loop stability and performance for nonlinear systems …

Advances in mathematical programming models for enterprise-wide optimization

IE Grossmann - Computers & Chemical Engineering, 2012 - Elsevier
Enterprise-wide Optimization (EWO) has become a major goal in the process industries due
to the increasing pressures for remaining competitive in the global marketplace. EWO …

Expanding scope and computational challenges in process scheduling

PM Castro, IE Grossmann, Q Zhang - Computers & Chemical Engineering, 2018 - Elsevier
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 …

Resource–task network formulations for industrial demand side management of a steel plant

PM Castro, L Sun, I Harjunkoski - Industrial & Engineering …, 2013 - ACS Publications
In today's energy markets, there is a growing effort toward the alignment of the industrial
sector and the power grid for the sake of efficient energy distribution and consumption. In …

Algorithmic approaches to inventory management optimization

HD Perez, CD Hubbs, C Li, IE Grossmann - Processes, 2021 - mdpi.com
An inventory management problem is addressed for a make-to-order supply chain that has
inventory holding and/or manufacturing locations at each node. The lead times between …

Reactive scheduling by a multiparametric programming rolling horizon framework: a case of a network of combined heat and power units

GM Kopanos, EN Pistikopoulos - Industrial & Engineering …, 2014 - ACS Publications
In this work, we introduce an approach for the reactive scheduling of production systems
with bounded uncertain parameters. The proposed method follows a state-space …

Economic nonlinear model predictive control for periodic optimal operation of gas pipeline networks

A Gopalakrishnan, LT Biegler - Computers & Chemical Engineering, 2013 - Elsevier
We study a Nonlinear Model Predictive Control (NMPC) formulation for optimizing the
operational costs of gas pipeline networks. The major operating cost comes from running the …

A digital twin framework for online optimization of supply chain business processes

HD Perez, JM Wassick, IE Grossmann - Computers & Chemical …, 2022 - Elsevier
We present an integrated digital twin framework for supply chain business processes. The
framework models supply chain processes as queueing networks where agents perform …

A multiscale decomposition method for the optimal planning and scheduling of multi-site continuous multiproduct plants

S Terrazas-Moreno, IE Grossmann - Chemical Engineering Science, 2011 - Elsevier
This paper addresses the solution of simultaneous scheduling and planning problems in a
production–distribution network of continuous multiproduct plants that involves different …

Batch-centric scheduling formulation for treelike pipeline systems with forbidden product sequences

PM Castro, H Mostafaei - Computers & Chemical Engineering, 2019 - Elsevier
This paper presents a new mixed-integer linear programming (MILP) formulation for the
short-term scheduling of liquid transportation by pipeline. It relies on a continuous-time …