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Chair of Operations Management
Prof. Dr. Grit Walther

Mina Farajiamiri

M.Sc.
Mina Farajiamiri
 
Working at the Institute since March 2021
 
email protected
tel. no.: +49 241 80 93660

Office: 156
Kackertstr. 7
52072 Aachen

Office Hours
By appointment, registration via e-mail.
 
 
 
 

Research Focus

  • Optimization
  • Uncertainty and Stochastic programming
  • Supply chain management

 

Projects

 

Teaching

Supply Chain Management
Project Module Operations Management
Supply Chain Management
Supply Chain Management
Supervision of scientific theses

 


Supervised theses

TypeTitle
BTLand use for renewable fuels based on biomass: A case study
MTEffect of economic incentives on renewable fuel supply chain network design
MTIdentifying the impact of uncertain weather conditions on supply chains
MTMulti-objective water supply chain for renewable hydrogen production through water electrolysis
MTRenewable Carbon Supply Chain for Renewable Fuels Production
MTRenewable fuel supply chain under uncertainty



Publications


Refereed journals

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

Refereed articles in proceedings and anthologies

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

Talks (selection)

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, talk on 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, talk on 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, talk on 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, talk on 07. September 2022