Christos T. Maravelias

Orcid: 0000-0002-4929-1748

According to our database1, Christos T. Maravelias authored at least 68 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A comprehensive chemical production scheduling representation.
Comput. Chem. Eng., February, 2024

Tightening discretization-based MILP models for the pooling problem using upper bounds on bilinear terms.
Optim. Lett., January, 2024

Piecewise linear trees as surrogate models for system design and planning under high-frequency temporal variability.
Eur. J. Oper. Res., 2024

Multi-technology separation system synthesis.
Comput. Chem. Eng., 2024

Computational enhancements of continuous production scheduling MILPs using tightening constraints.
Comput. Chem. Eng., 2024

2023
On the utility of production scheduling formulations including record keeping variables.
Comput. Ind. Eng., July, 2023

2022
Variable Bound Tightening and Valid Constraints for Multiperiod Blending.
INFORMS J. Comput., 2022

Integrated spatially explicit landscape and cellulosic biofuel supply chain optimization under biomass yield uncertainty.
Comput. Chem. Eng., 2022

Integrated production and distribution planning for industrial gases supply chains.
Comput. Chem. Eng., 2022

CProS: A web-based application for chemical production scheduling.
Comput. Chem. Eng., 2022

The inherent robustness of closed-loop scheduling.
Comput. Chem. Eng., 2022

A Generalized Framework for Reactor Network Synthesis: A Graph Theoretic Approach.
Comput. Chem. Eng., 2022

Production scheduling under demand uncertainty in the presence of feedback: Model comparisons, insights, and paradoxes.
Comput. Chem. Eng., 2022

2021
Terminal inventory level constraints for online production scheduling.
Eur. J. Oper. Res., 2021

State estimation in online batch production scheduling: concepts, definitions, algorithms and optimization models.
Comput. Chem. Eng., 2021

2020
Mixed-integer optimization methods for online scheduling in large-scale HVAC systems.
Optim. Lett., 2020

Preprocessing algorithm and tightening constraints for multiperiod blend scheduling: cost minimization.
J. Glob. Optim., 2020

On the Derivation of Continuous Piecewise Linear Approximating Functions.
INFORMS J. Comput., 2020

Integration of graphical approaches into optimization-based design of multistage liquid extraction.
Comput. Chem. Eng., 2020

Computationally efficient optimization models for preliminary distillation column design and separation energy targeting.
Comput. Chem. Eng., 2020

A generalized superstructure-based framework for process synthesis.
Comput. Chem. Eng., 2020

Combining the advantages of discrete- and continuous-time scheduling models: Part 3. General algorithm.
Comput. Chem. Eng., 2020

Expanding the scope of distillation network synthesis using superstructure-based methods.
Comput. Chem. Eng., 2020

Framework for studying online production scheduling under endogenous uncertainty.
Comput. Chem. Eng., 2020

2019
Unification of closed-loop scheduling and control: State-space formulations, terminal constraints, and nominal theoretical properties.
Comput. Chem. Eng., 2019

Incorporating automation logic in online chemical production scheduling.
Comput. Chem. Eng., 2019

Combining the advantages of discrete- and continuous-time scheduling models: Part 2. systematic methods for determining model parameters.
Comput. Chem. Eng., 2019

On the design of online production scheduling algorithms.
Comput. Chem. Eng., 2019

2018
Performance Guarantees and Optimal Purification Decisions for Engineered Proteins.
Oper. Res., 2018

Economic MPC and real-time decision making with application to large-scale HVAC energy systems.
Comput. Chem. Eng., 2018

Editorial of FOCAPO/CPC 2017.
Comput. Chem. Eng., 2018

Combining the advantages of discrete- and continuous-time scheduling models: Part 1. Framework and mathematical formulations.
Comput. Chem. Eng., 2018

2017
Changeover formulations for discrete-time mixed-integer programming scheduling models.
Eur. J. Oper. Res., 2017

A superstructure-based framework for bio-separation network synthesis.
Comput. Chem. Eng., 2017

Discrete-time mixed-integer programming models for short-term scheduling in multipurpose environments.
Comput. Chem. Eng., 2017

Mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants.
Comput. Chem. Eng., 2017

Simultaneous chemical process synthesis and heat integration with unclassified hot/cold process streams.
Comput. Chem. Eng., 2017

Solution methods for vehicle-based inventory routing problems.
Comput. Chem. Eng., 2017

2016
Preprocessing and tightening methods for time-indexed MIP chemical production scheduling models.
Comput. Chem. Eng., 2016

Discrete-time mixed-integer programming models and solution methods for production scheduling in multistage facilities.
Comput. Chem. Eng., 2016

A superstructure-based framework for simultaneous process synthesis, heat integration, and utility plant design.
Comput. Chem. Eng., 2016

On deterministic online scheduling: Major considerations, paradoxes and remedies.
Comput. Chem. Eng., 2016

2015
Theoretical framework for formulating MIP scheduling models with multiple and non-uniform discrete-time grids.
Comput. Chem. Eng., 2015

Process systems engineering studies for the synthesis of catalytic biomass-to-fuels strategies.
Comput. Chem. Eng., 2015

Cost optimization of combined building heating/cooling equipment via mixed-integer linear programming.
Proceedings of the American Control Conference, 2015

2014
Economic model predictive control for inventory management in supply chains.
Comput. Chem. Eng., 2014

Scope for industrial applications of production scheduling models and solution methods.
Comput. Chem. Eng., 2014

2013
A branch-and-bound algorithm for the solution of chemical production scheduling MIP models using parallel computing.
Comput. Chem. Eng., 2013

Multiple and nonuniform time grids in discrete-time MIP models for chemical production scheduling.
Comput. Chem. Eng., 2013

Integration of control theory and scheduling methods for supply chain management.
Comput. Chem. Eng., 2013

2012
A state-space model for chemical production scheduling.
Comput. Chem. Eng., 2012

On the combinatorial structure of discrete-time MIP formulations for chemical production scheduling.
Comput. Chem. Eng., 2012

2011
R&D pipeline management: Task interdependencies and risk management.
Eur. J. Oper. Res., 2011

2010
Modeling methods and a branch and cut algorithm for pharmaceutical clinical trial planning using stochastic programming.
Eur. J. Oper. Res., 2010

2009
Mixed Integer Programming/Constraint Programming Hybrid Methods.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Simultaneous Batching and Scheduling Using Dynamic Decomposition on a Grid.
INFORMS J. Comput., 2009

Integration of production planning and scheduling: Overview, challenges and opportunities.
Comput. Chem. Eng., 2009

Polyhedral results for discrete-time production planning MIP formulations for continuous processes.
Comput. Chem. Eng., 2009

A novel network-based continuous-time representation for process scheduling: Part II. General framework.
Comput. Chem. Eng., 2009

A novel network-based continuous-time representation for process scheduling: Part I. Main concepts and mathematical formulation.
Comput. Chem. Eng., 2009

Scheduling of testing tasks and resource planning in new product development using stochastic programming.
Comput. Chem. Eng., 2009

2008
A mixed-integer programming formulation for the general capacitated lot-sizing problem.
Comput. Chem. Eng., 2008

Batch selection, assignment and sequencing in multi-stage multi-product processes.
Comput. Chem. Eng., 2008

A stochastic programming approach for clinical trial planning in new drug development.
Comput. Chem. Eng., 2008

2006
A decomposition framework for the scheduling of single- and multi-stage processes.
Comput. Chem. Eng., 2006

2004
A hybrid MILP/CP decomposition approach for the continuous time scheduling of multipurpose batch plants.
Comput. Chem. Eng., 2004

Optimal resource investment and scheduling of tests for new product development.
Comput. Chem. Eng., 2004

Using MILP and CP for the Scheduling of Batch Chemical Processes.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2004


  Loading...