Georgiadis Georgios

Industrial Management Department, Laboratory of Business Administration, Production Scheduling

Georgios Georgiadis obtained his PhD from the Department of Chemical Engineering at Aristotle University of Thessaloniki (Optimal Production Planning and Scheduling of Mixed Batch and Continuous Industrial Processes, 2021). In 2017, he completed his postgraduate studies in Electrical Power Engineering at RWTH Aachen University, while in 2013 he received his degree in Electrical Engineering from the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki. His research interests relate to the fields of mathematical optimization, production design/planning, and operational research. His research has been funded through scholarships at both the doctoral and postdoctoral levels. In the past, he has successfully participated in Greek and international research projects. His work has been published in international journals and presented at international and Greek conferences. He has four years of industrial experience as an optimization engineer (2021-2025) for specialised solutions and software for production planning.

Τομέας: Industrial Management 

Βαθμίδα: Assistant Professor 

Τηλέφωνο: +302310996048 

Γραφείο: Building D, 7rd Floor 

Ώρες Συνεργασίας: Thursday 11:00 - 12:00, Friday 13:00 - 14:00 (or upon appointment through email) 

tmm_building

Ερευνητικά Ενδιαφέροντα: 

  • Production planning/scheduling
  • Supply chain optimization
  • Operational Research
  • Mathematical optimization
  • Decarbonization and industrial electrification

 

Επιλεγμένες Δημοσιεύσεις: 

A hybrid ml-milp framework for the optimal integration of photovoltaic and battery systems in manufacturing industries (2025). GP Georgiadis, CN Dimitriadis, N Passalis, MC Georgiadis. Computers & Chemical Engineering, 109356

Enhancing Industrial Scheduling through Machine Learning: A Synergistic Approach with Predictive Modeling and Clustering (2025). ME Samouilidou, N Passalis, GP Georgiadis, MC Georgiadis. Computers & Chemical Engineering, 109174.

Optimal planning of the COVID-19 vaccine supply chain (2021). GP Georgiadis, MC Georgiadis. Vaccine 39 (37), 5302-5312.

Optimal production planning and scheduling in breweries (2021). GP Georgiadis, AP Elekidis, MC Georgiadis. Food and Bioproducts Processing 125, 204-221.

https://scholar.google.gr/citations?user=Z4fIuvwAAAAJ&hl=el

 

Βιογραφικό Σημείωμα: Συνημμένο Αρχείο 

Industrial Management Department, Laboratory of Business Administration, Production Scheduling

Georgios Georgiadis obtained his PhD from the Department of Chemical Engineering at Aristotle University of Thessaloniki (Optimal Production Planning and Scheduling of Mixed Batch and Continuous Industrial Processes, 2021). In 2017, he completed his postgraduate studies in Electrical Power Engineering at RWTH Aachen University, while in 2013 he received his degree in Electrical Engineering from the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki. His research interests relate to the fields of mathematical optimization, production design/planning, and operational research. His research has been funded through scholarships at both the doctoral and postdoctoral levels. In the past, he has successfully participated in Greek and international research projects. His work has been published in international journals and presented at international and Greek conferences. He has four years of industrial experience as an optimization engineer (2021-2025) for specialised solutions and software for production planning.

Field: Industrial Management 

Rank: Assistant Professor 

Telephone: +302310996048 

Office: Building D, 7rd Floor 

Student Reception: Thursday 11:00 - 12:00, Friday 13:00 - 14:00 (or upon appointment through email) 

tmm_building

Research fields: 

  • Production planning/scheduling
  • Supply chain optimization
  • Operational Research
  • Mathematical optimization
  • Decarbonization and industrial electrification

 

Papers: 

A hybrid ml-milp framework for the optimal integration of photovoltaic and battery systems in manufacturing industries (2025). GP Georgiadis, CN Dimitriadis, N Passalis, MC Georgiadis. Computers & Chemical Engineering, 109356

Enhancing Industrial Scheduling through Machine Learning: A Synergistic Approach with Predictive Modeling and Clustering (2025). ME Samouilidou, N Passalis, GP Georgiadis, MC Georgiadis. Computers & Chemical Engineering, 109174.

Optimal planning of the COVID-19 vaccine supply chain (2021). GP Georgiadis, MC Georgiadis. Vaccine 39 (37), 5302-5312.

Optimal production planning and scheduling in breweries (2021). GP Georgiadis, AP Elekidis, MC Georgiadis. Food and Bioproducts Processing 125, 204-221.

https://scholar.google.gr/citations?user=Z4fIuvwAAAAJ&hl=el