Peiman Ghasemi, PhD
T: +43-1-4277-38075
Goodarzian, F., Navaei, A., Ehsani, B., Ghasemi, P., & Muñuzuri , J. (2023). Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions. Annals of Operations Research, 328(1), 531-575. https://doi.org/10.1007/s10479-022-04713-4
Goodarzian, F., & Ghasemi, P. (2023). A state-of-the-art review of operation research models and applications in home healthcare. Healthcare Analytics, 4, [100228]. https://doi.org/10.1016/j.health.2023.100228
Ghasemi, P., & Pourghader Chobar, A. (2023). Design of an Optimal Robust Possibilistic Model in the Distribution Chain Network of Agricultural Products with High Perishability under Uncertainty. Sustainability, 15(15), [11669]. https://doi.org/10.3390/su151511669
Ghasemi, P., Goodarzian, F., Simic, V., & Babaee Tirkolaee, E. (2023). A DEA-based simulation-optimisation approach to design a resilience plasma supply chain network: a case study of the COVID-19 outbreak. International Journal of Systems Science: Operations & Logistics, 10(1), [2224105]. https://doi.org/10.1080/23302674.2023.2224105
Ghasemi, P., Goodarzian, F., Gunasekaren, A., & Abraham, A. (2023). A bi-level mathematical model for logistic management considering the evolutionary game with environmental feedbacks. The International Journal of Logistics Management, 34(4), 1077-1100. https://doi.org/10.1108/IJLM-04-2021-0199
Goodarzian, F., Ghasemi, P., & Gunasekaren, A. (2023). A fuzzy sustainable model for COVID-19 medical waste supply chain network. Fuzzy Optimization and Decision Making. https://doi.org/10.1007/s10700-023-09412-8
Momenitabar, M., Ebrahimi, Z. D., Bengtson, K., Helmi, W., & Ghasemi, P. (2023). An integrated machine learning and quantitative optimization method for designing sustainable bioethanol supply chain networks. Decision Analytics Journal, 7, [100236]. https://doi.org/10.1016/j.dajour.2023.100236
Goodarzian, F., Ghasemi, P., Gonzalez, E. DR. S., & Tirkolaee, E. B. (2023). A sustainable-circular citrus closed-loop supply chain configuration: Pareto-based algorithms. Journal of Environmental Management, 328, [116892]. https://doi.org/10.1016/j.jenvman.2022.116892
Choukolaei, H. A., Ghasemi, P., & Goodarzian, F. (2023). Evaluating the efficiency of relief centers in disaster and epidemic conditions using multi-criteria decision-making methods and GIS: A case study. International Journal of Disaster Risk Reduction, 85, [103512]. https://doi.org/10.1016/j.ijdrr.2022.103512
Kia, R., Goodarzian, F., & Ghasemi, P. (2023). A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms. Socio-Economic Planning Sciences, 85, [101378]. https://doi.org/10.1016/j.seps.2022.101378
Goodarzian, F., Ghasemi, P., Muñuzuri , J., & Abraham, A. (2023). Challenges to the sustainable development of vehicle transport. Advancement in Oxygenated Fuels for Sustainable Development. https://doi.org/10.1016/B978-0-323-90875-7.00011-3
Goodarzian, F., Ghasemi, P., & Abraham, A. (2023). Key success factors for blockchain implementation in supply chain management. in K. Mathiyazhagan, V. R. Sreedharan, D. Mathivathanan, & V. Sunder M (Hrsg.), Blockchain in a Volatile-Uncertain-Complex-Ambiguous World (S. 219-231). Elsevier. https://doi.org/10.1016/B978-0-323-89963-5.00003-4
Momenitabar, M., Ebrahimi, Z. D., & Ghasemi, P. (2022). Designing a sustainable bioethanol supply chain network: A combination of machine learning and meta-heuristic algorithms. Industrial Crops and Products, 189, [115848]. https://doi.org/10.1016/j.indcrop.2022.115848
Ghasemi, P., Goodarzian, F., Abraham, A., & Khanchehzarrin, S. (2022). A Possibilistic-Robust-Fuzzy Programming Model for Designing a Game Theory Based Blood Supply Chain Network. Applied Mathematical Modelling, 112, 282-303. https://doi.org/10.1016/j.apm.2022.08.003
Safaei, S., Ghasemi, P., Goodarzian, F., & Momenitabar, M. (2022). Designing a new multi-echelon multi-period closed-loop supply chain network by forecasting demand using time series model: a genetic algorithm. Environmental Science and Pollution Research, 29(53), 79754-79768. https://doi.org/10.1007/s11356-022-19341-5
Goodarzian, F., Kumar, V., & Ghasemi, P. (2022). Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms. Annals of Operations Research. https://doi.org/10.1007/s10479-022-05005-7
Hosseini, S. A., Choukolaei, H. A., Ghasemi, P., Dardaei-beiragh, H., Sherafatianfini, S., & Pourghader Chobar, A. (2022). Evaluating the Performance of Emergency Centers during Coronavirus Epidemic Using Multi-Criteria Decision-Making Methods (Case Study: Sari City). Discrete Dynamics in Nature and Society, 2022, [6074579]. https://doi.org/10.1155/2022/6074579
Babaeinesami, A., Tohidi, H., Ghasemi, P., Goodarzian, F., & Babaee Tirkolaee, E. (2022). A closed-loop supply chain configuration considering environmental impacts: a self-adaptive NSGA-II algorithm. Applied Intelligence, 52(12), 13478-13496. https://doi.org/10.1007/s10489-021-02944-9
Ghasemi, P., Goodarzian, F., & Abraham, A. (2022). A new humanitarian relief logistic network for multi-objective optimization under stochastic programming. Applied Intelligence, 52(12), 13729-13762. https://doi.org/10.1007/s10489-022-03776-x
Ahmadi, S. A., & Ghasemi, P. (2022). Pricing strategies for online hotel searching: a fuzzy inference system procedure. Kybernetes: the international journal of cybernetics, systems and management research. https://doi.org/10.1108/K-03-2022-0427
Aktivitäten
International Journal of Production Research (Fachzeitschrift)
Peiman Ghasemi (Mitglied eines HerausgeberInnengremiums)
23 Dez. 2023
Institut für Business Decisions and Analytics
Kolingasse 14-16
1090 Wien
Zimmer: 05.34
T: +43-1-4277-38075