Center for Advanced Process
  Decision-making
  Dept. of Chemical Engineering
  Carnegie Mellon University
  Pittsburgh, PA. USA
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.
Alternate LP Solutions
Iterative MILP model to find alternate solutions in Linear Programming models.
BatchMPC
Design of multi-product batch plants with mixed product campaigns.
BatchSPC
Design of multi-product batch plants with single product campaigns.
CENTRALIZED/DECENTRALIZED
Generalized Disjunctive Program (GDP) model for the Optimal Location of Centralized and Decentralized Manufacture Facilities.
CHP
Combined heat and power: optimization of heat and power plants under time-sensitive electricity prices.
CYCLE
Zero-wait scheduling of multi-product batch plants.
CRUDEOIL
Inventory management of a refinery that imports several types of crude oil delivered by different vessels.
DECAY
Scheduling multiple feeds on parallel units, where the performance of each unit decreases with time.
DISIM
Distribution Center design with Stochastic Inventory Management.
EXTRACTOR
Optimal design of multicomponent liquid-liquid extraction processes using multistage countercurrent extractor systems.
FLEXNET
Flexibility Index evaluation for Heat Exchanger Networks.
GDP-DISTILL
Synthesizing a single distillation column.
GREENPLAN
Bicriterion Optimization of Industrial Chemical Complexes.
INTEGRATED SUPPLY CHAIN
Scheduling model based on a Task Network representation to schedule order transactions and manufacturing operations in the order-to-cash process of a digital supply chain.
INVPLAN
Simultaneous optimization of inventory and supply chain planning.
LOGMIP
Logic Mixed Integer Programming Solver.
MINLP Cyberinfrastructure
Collaborative site with library of MINLP problems and their formulation.
MULTIPERIOD BLEND
Decomposition Method for Multiperiod Blending Problem.
MULTISTAGE
Optimization of cyclic schedules of multiproduct continuous plants.
NETCHAIN
Optimization of the supply chain in continuous flexible process networks.
OILGASPLAN
Planning of offshore oilfield development.
Order-To-Cash (OTC)
Mathematical programming approach to optimize the business process transactions in digital supply chains.
PowerSCHEDULE
Simultaneous optimization of production scheduling and electricity procurement for continuous power-intensive processes.
PRODEV
Scheduling of testing tasks in the new product development.
REL-OPT
Mixed-integer nonlinear programming models for optimal design of reliable chemical plants.
Resilient Supply Chain
Supply Chain with Risk of Facility Disruptions.
SIMPLAN
Simultaneous planning and scheduling of a single-stage multi-product.
SIMPRONET
Stochastic Inventory Management for Process Networks.
STEAM
Optimal Synthesis and Operation of Utility Plants.
STN
State Task Network, continuous and discrete models.
SYNHEAT
Program for optimizing heat exchanger networks.
THERMAL-DIST
Optimal Separation Sequences based on Thermally Coupled Distillation.
WATER
Design of integrated and distributed wastewater networks.
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