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Lehrstuhl für Operations Management Prof. Dr. Grit Walther

Mina Farajiamiri

M.Sc.
Mina Farajiamiri
 
Am Lehrstuhl seit März 2021
 
email protected
Tel.-Nr.: +49 241 80 93660

Raum: 156
Kackertstr. 7
52072 Aachen

Sprechstunde
Nach Vereinbarung, Anmeldung per E-Mail.
 
 
 
 

Forschungsschwerpunkte

  • Optimierung
  • Stochastische Programmierung und Programmierung mit Unsicherheit
  • Lieferkettenmanagement

 

Projekte

 

Lehrtätigkeiten

Supply Chain Management
Projektmodul Operations Management
Supply Chain Management
Supply Chain Management
Betreuung studentischer Arbeiten

 


Betreute studentische Arbeiten

ArtTitel
BAFlächennutzung für erneuerbare Kraftstoffe auf der Grundlage von Biomasse: Eine Fallstudie
MAEffect of economic incentives on renewable fuel supply chain network design
MAIdentifying the impact of uncertain weather conditions on supply chains
MAMulti-objective water supply chain for renewable hydrogen production through water electrolysis
MARenewable Carbon Supply Chain for Renewable Fuels Production
MARenewable fuel supply chain under uncertainty



Veröffentlichungen


Referierte Zeitschriften

Amiri, M.; Meyer, J.C.; Walther, G. (2023): Multi-objective optimization of renewable fuel supply chains regarding cost, land use, and water use In: Applied Energy, Volume 349, Issue -, Pages 1-24. DOI: https://doi.org/10.1016/j.apenergy.2023.121652

Behnamian, J.; Ghadimi, M.; Amiri, M. (2022): Data mining-based firefly algorithm for green vehicle routing problem with heterogeneous fleet and refueling constraint In: Artificial Intelligence Review, Volume 56, Issue 7, Pages 6557-6589. DOI: https://doi.org/10.1007/s10462-022-10336-9

Amiri, M.; Behnamian, J. (2020): Multi-objective green flowshop scheduling problem under uncertainty: Estimation of distribution algorithm In: Journal of Cleaner Production, Volume 251. DOI: https://doi.org/10.1016/j.jclepro.2019.119734

Begutachtete Beiträge in Proceedings und Sammelbänden

Amiri, M.; Behnamian, J. (2020): A Simulation Based Genetic Algorithm for Flowshop Scheduling Problem Considering Energy Cost under Uncertainty In: Journal of Industrial Management Perspective, Volume 10, Issue 2. DOI: 10.52547/jimp.10.2.9

Poster-Präsentationen (Auswahl)

Amiri, M.; Meyer, J.C.; Walther, G. (2024): Designing renewable fuel supply chains: A stochastic programming approach to address uncertainty in renewable electricity supply In: 12th International Conference Fuel Science – From Production to Propulsion

Vorträge (Auswahl)

Amiri, M.; Meyer, J.C.; Walther, G. (2023): A two-stage stochastic mixed-integer programming approach for the optimal design of a renewable fuel supply chain. ANNUAL CONFERENCE OF THE OPERATIONS RESEARCH SOCIETY OF GERMANY, 29. August - 01. September 2023, Hamburg, Vortrag am 31. August 2023

Amiri, M.; Meyer, J.C.; Walther, G. (2023): Renewable fuel supply chain network design and sustainability: A multi-objective optimization approach. 4th Conference of the EURO Working Group on Sustainable Supply Chains, 30. June - 01. July 2023, Hagen, Vortrag am 30. June 2023

Amiri, M.; Meyer, J.C.; Walther, G. (2023): An Optimal Design for a Renewable Fuel Supply Chain Network With Economic and Environmental Considerations. 11th Fuel Science Center International Conference, 23. May - 25. May 2023, Aachen, Vortrag am 24. May 2023

Amiri, M.; Walther, G. (2022): Bi-objective optimization of renewable fuel supply chains regarding total costs and land-use. ANNUAL CONFERENCE OF THE OPERATIONS RESEARCH SOCIETY OF GERMANY, 06. September - 09. September 2022, Karlsruhe, Vortrag am 07. September 2022