Summary
Vassilios Yfantis studied chemical engineering at the Technical University of Berlin and the Technical University of Dortmund. In his master thesis he dealt with the optimal production planning of industrial formulation plants. From April 2018 to March 2019 he worked as a research assistant at the Technical University of Dortmund within the EU project "Improved energy and resource efficiency by better coordination of production in the process industries" (CoPro) on the optimal production planning of flexible production plants in consumer goods industry. Since January 2020 he is working as research assistant at the Chair of Machine Tools and Control Systems.
Research Fields
Vassilios Yfantis is working on the topic of distributed optimization. This finds applications in the areas of model predictive control, production scheduling, demand-side management and machine learning.
Publications
V. Yfantis, M. Ruskowski, A Hierarchical Dual Decomposition-based Distributed Optimization Algorithm combining Quasi-Newton Steps and Bundle Methods, 2022. 30th Mediterranean Conference on Control and Automation. Link
V. Yfantis, W. Motsch, N. Bach, A. Wagner, M. Ruskowski, Optimal Load Control and Scheduling through Distributed Mixed-integer Linear Programming, 2022. 30th Mediterranean Conference on Control and Automation. Link
V. Yfantis, N. Gafur, A. Wagner, M. Ruskowski, Hierarchical Distributed Model Predictive Control based on Dual Decomposition and Quadratic Approximation, 2022. 30th Mediterranean Conference on Control and Automation. Link
N. Gafur, L. Weber, V. Yfantis, A. Wagner, M. Ruskowski, Dynamic path planning and reactive scheduling for a robotic manipulator using nonlinear model predictive control, 2022. 30th Mediterranean Conference on Control and Automation. Link Experimental results video
V. Yfantis, A. Babskiy, C. Klanke, M. Ruskowski, S. Engell, An Improved Optimization Model for Scheduling of an Industrial Formulation Plant based on Integer Linear Programming, 2022. 14th International Symposium on Process Systems Engineering – PSE 2021+. Link
S. Jungbluth, N. Gafur, J. Popper, V. Yfantis, M. Ruskowski, Reinforcement Learning-based Scheduling of a Job-Shop Process with Distributedly Controlled Robotic Manipulators for Transport Operations, 2022. IFAC-PapersOnLine 55 (2), 156-162. Link
N. Gafur, V. Yfantis, M. Ruskowski, Optimal scheduling and non-cooperative distributed model predictive control for multiple robotic manipulators, 2021. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Link
J. Popper, V. Yfantis, M. Ruskowski, Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning, 2021. Procedia CIRP 104, 1523-1528. Link
C. Klanke, V. Yfantis, F. Corominas, S. Engell, Short-term scheduling of make-and-pack processes in the consumer goods industry using discrete-time and precedence-based MILP models, 2021. Computers and Chemical Engineering 154, 107453. Link
C. Klanke, D.R. Bleidorn, V. Yfantis, S. Engell, Combining Constraint Programming and Temporal Decomposition Approaches - Scheduling of an Industrial Formulation Plant, 2021. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12735 LNCS, pp. 133-148. Link
V. Yfantis, S. Büscher, C. Klanke, F. Corominas, S. Engell, A Two-stage Simulated Annealing-based Scheduling Algorithm for a Make-and-Pack Production Plant, 2020. IFAC PapersOnLine 53 (2), 10779-10784. Link
A. Tika, N. Gafur, V. Yfantis, N. Bajcinca, Optimal Scheduling and Model Predictive Control for Trajectory Planning of Cooperative Robot Manipulators, 2020. IFAC PapersOnLine 53 (2), 9080-9086. Link
N. Bajcinca, M.V.A. Pedrosa, V. Yfantis, Mixed-Integer Model Predictive Control of Hybrid Impulsive Linear Systems, 2020. IFAC PapersOnLine 53 (2), 6775-6780. Link
C. Klanke, V. Yfantis, F. Corominas, S. Engell, Scheduling of a Large-scale Industrial Make-and-Pack Process with Finite Intermediate Buffer using Discrete-time and Precedence-based Models, 2020. Computer Aided Chemical Engineering 48, 1153-1158. Link
V. Yfantis, F. Corominas, S. Engell, Scheduling of a Consumer Goods Production Plant with Intermediate Buffer by Decomposition and Mixed-integer Linear Programming, 2019. IFAC-PapersOnLine 52 (13), 1837-1842. Link
A.P. Elekidis, V. Yfantis, F. Corominas, M.C. Georgiadis, S. Engell, Optimal Production Scheduling in the Packaged Consumer Goods Industry, 2019. 12th European Congress of Chemical Engineering & 5th European Congress of Applied Biotechnology – ECCE12/ECAB5, 15.09-19.09 Florence, Italy. Link
V. Yfantis, T. Siwczyk, M. Lampe, N. Kloye, M. Remelhe, S. Engell, Iterative Medium-Term Production Scheduling of an Industrial Formulation Plant, 2019. Computer Aided Chemical Engineering 46, 19-24. Link
S. Wenzel, V. Yfantis, W. Gao, Comparison of Regression Data Selection Strategies for Quadratic Approximation in RTO, 2017. Computer Aided Chemical Engineering 40, 1711-1716. Link