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

Ghasemi, P., Khalil, H. A., Pourghader Chobar, A., Safavi, S., & Hejri, F. M. (2022). A New Multiechelon Mathematical Modeling for Pre-and Postdisaster Blood Supply Chain: Robust Optimization Approach. Discrete Dynamics in Nature and Society, 2022, [2976929]. https://doi.org/10.1155/2022/2976929

Goodarzian, F., Ghasemi, P., Kumar, V., & Abraham, A. (2022). A new modified social engineering optimizer algorithm for engineering applications. Applied Soft Computing, 26(9), 4333-4361. https://doi.org/10.1007/s00500-022-06837-y

Goodarzian, F., Ghasemi, P., Gunasekaren, A., Taleizadeh, A. A., & Abraham, A. (2022). A sustainable-resilience healthcare network for handling COVID-19 pandemic. Annals of Operations Research, 312(2), 761-825. https://doi.org/10.1007/s10479-021-04238-2

Momenitabar, M., Ebrahimi, Z. D., Arani, M., Mattson, J., & Ghasemi, P. (2022). Designing a sustainable closed-loop supply chain network considering lateral resupply and backup suppliers using fuzzy inference system. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-022-02332-4

Ghasemi, P., Goodarzian, F., Muñuzuri , J., & Abraham, A. (2022). A Cooperative Game Theory Approach for Location-Routing-Inventory Decisions in Humanitarian Relief Chain Incorporating Stochastic Planning. Applied Mathematical Modelling, 104, 750-781. https://doi.org/10.1016/j.apm.2021.12.023

Kamali, A. H., Moradi, M., Goodarzian, F., & Ghasemi, P. (2022). A discrete event simulation method for performance analysis of an additive manufacturing in the dental clinic. The International Journal of Advanced Manufacturing Technology, 118(9-10), 2949-2979. https://doi.org/10.1007/s00170-021-08135-7

Khalili-damghani, K., Tavana, M., & Ghasemi, P. (2022). A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems. Annals of Operations Research, 309(1), 103-141. https://doi.org/10.1007/s10479-021-04191-0

Babaee Tirkolaee, E., Goli, A., Ghasemi, P., & Goodarzian, F. (2022). Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms. Journal of cleaner production, 333, [130056]. https://doi.org/10.1016/j.jclepro.2021.130056

Goodarzian, F., Abraham, A., Ghasemi, P., & Nasseri, H. (2021). Designing a green home healthcare network using grey flexible linear programming: heuristic approaches. Journal of Computational Design and Engineering, 8(6), 1468-1498. https://doi.org/10.1093/jcde/qwab057

Khalilzadeh, M., Ghasemi, P., & Shakeri, H. (2021). Hybrid fuzzy MCDM and FMEA integrating with linear programming approach for the health and safety executive risks: a case study. Journal of Modelling in Management, 16(4), 1025-1053. https://doi.org/10.1108/JM2-12-2019-0285

Ghasemi, P., Goodarzian, F., & Jolai, F. (2021). A new two-stage nurse scheduling approach based on occupational justice considering assurance attendance in works shifts by using Z-number method: A real case study. RAIRO - Operations Research, 55(6), 3317-3338. https://doi.org/10.1051/ro/2021157

Ghasemi, P., & Kia, R. (2021). A stochastic bi-objective simulation-optimization model for plasma supply chain in case of COVID-19 outbreak. Applied Soft Computing, 112, [107725]. https://doi.org/10.1016/j.asoc.2021.107725

Goodarzian, F., Kumar, V., & Ghasemi, P. (2021). A set of efficient heuristics and meta-heuristics to solve a multi-objective pharmaceutical supply chain network. Computers and Industrial Engineering, 158, [107389]. https://doi.org/10.1016/j.cie.2021.107389