Our research work is concerned with the development of discrete-continuous optimization models and
methods for problems in process systems engineering. We specifically address problems in the areas of process synthesis, planing and scheduling
of process systems, through novel mathematical programming approaches, which rely on linear and nonlinear models with discrete and continuous variables. These include mixed-integer programming (MILP and MINLP), General Disjunctive Programming (GDP), global optimization multi-period optimization. Both deterministic models as well as models with uncertainty are consider. Our work also provides a balance between theory, computation and real world applications.
Design of multi-product batch plants with mixed product campaigns.
Design of multi-product batch plants with single product campaigns.
Generalized Disjunctive Program (GDP) model for the Optimal Location of Centralized and Decentralized Manufacture Facilities.
Combined heat and power: optimization of heat and power plants under time-sensitive electricity prices.
Zero-wait scheduling of multi-product batch plants.
Inventory management of a refinery that imports several types of crude oil delivered by different vessels.
Scheduling multiple feeds on parallel units, where the performance of each unit decreases with time.
Distribution Center design with Stochastic Inventory Management.
Optimal design of multicomponent liquid-liquid extraction processes using multistage countercurrent extractor systems.
Flexibility Index evaluation for Heat Exchanger Networks.
Synthesizing a single distillation column.
Bicriterion Optimization of Industrial Chemical Complexes.
Logic Mixed Integer Programming Solver.
Collaborative site with library of MINLP problems and their formulation.
Decomposition Method for Multiperiod Blending Problem.
Optimization of cyclic schedules of multiproduct continuous plants.
Optimization of the supply chain in continuous flexible process networks.
Planning of offshore oilfield development.
Simultaneous optimization of production scheduling and electricity procurement for continuous power-intensive processes.
Scheduling of testing tasks in the new product development.
Mixed-integer nonlinear programming models for optimal design of reliable chemical plants.
Resilient Supply Chain
Supply Chain with Risk of Facility Disruptions.
Simultaneous planning and scheduling of a single-stage multi-product.
Stochastic Inventory Management for Process Networks.
Optimal Synthesis and Operation of Utility Plants.
State Task Network, continuous and discrete models.
Program for optimizing heat exchanger networks.
Optimal Separation Sequences based on Thermally Coupled Distillation.
Design of integrated and distributed wastewater networks.