Amir Fathollahi-Fard

Dr. Amir M. Fathollahi-Fard is a highly accomplished researcher specializing in Supply Chain Management, Waste Management, Transportation Planning, Manufacturing Systems, and Healthcare Logistics. His work is strongly driven by a commitment to sustainability, with a particular focus on environmental emissions in these domains. Dr. Fathollahi-Fard leverages methodologies from Operations Research, Machine Learning, and Data Analytics to deliver impactful and innovative contributions to these fields.

Dr. Fathollahi-Fard completed his Ph.D. at École de technologie supérieure (ÉTS), Université du Québec, Montréal, Canada. Following his doctorate, he pursued postdoctoral research at Université du Québec à Montréal (UQAM), and the University of Toronto (UofT). Through his research, teaching, and collaborations, Dr. Fathollahi-Fard continues to advance innovative approaches to sustainable operations, logistics, and optimization in both academic and industrial contexts.

Ph. D. (2020-2023)

Operations Management

École de Technologie Supérieure, Université du Québec, Montréal, Canada

Thesis: Smart and sustainable flow-shop scheduling problems: Robust optimization and strong heuristics

Keywords:  Sustainable Manufacturing; Real-time Scheduling; Robust Optimization; Adaptive Large Neighborhood Search;

GPA of 4.17 out of 4.30.

Supervisors: Prof. Lyne Woodward, and Prof. Ouassima Akhrif

M. Sc. (2016-2018)

Systems Engineering

University of Science & Technology of Mazandaran, Behshahr, Iran.

Thesis: Developing a lower bound and a set of heuristics for novel mathematical models in home health care problem

Keywords:  Sustainable Healthcare; Routing and Scheduling Problems; Lagrangian Relaxation; Heuristics;

GPA of 19.55 out of 20.00.

Supervisors: Prof. Mostafa Hajiaghaei-Keshteli, and Prof. Reza Tavakkoli-Moghaddam

B. Sc. (2012-2016)

Industrial Engineering

University of Science & Technology of Mazandaran, Behshahr, Iran.

GPA of 17.29 out of 20.00 

Assistant Professor (09/2025-09/2027)

School of Business Administration, Laurentian University

Responsibilities:

• Teach courses in: "Business Analytics", "Business Statistics", "Operations Management", and "Introduction to Management Sciences"
• Provide academic guidance and mentorship to students.
• Conduct and publish scholarly research in relevant fields.
• Seek and secure external funding to support student hiring and research activities.
• Contribute to the academic service needs of the School of Business Administration and the Laurentian University.

Postdoctoral Researcher (09/2025-12/2025)

University of Toronto, Canada

Supervisors:  Prof. Igor Averbakh

Responsibilities:

• Develop innovative models, algorithms, and theoretical frameworks addressing complex optimization problems with a possible focus on approximation algorithms, scheduling, network design, and facility location.
• Prepare and publish high-impact research articles in top-tier journals and present findings at international conferences in operations research, optimization, and theoretical computer science.
• Work closely with faculty members, researchers, and graduate students at the University of Toronto and partner institutions to advance research in discrete optimization and related domains.

Adjunct Professor (02/2024-01/2026)

Macau University of Science and Technology, Macau, China.

Responsibilities:

• Continuously advancing knowledge and expertise in the field through active participation in workshops, conferences, and seeking out opportunities for further professional growth.
• Working closely with colleagues, departmental heads, and administrative staff to contribute to discussions and decision-making processes regarding curriculum development, program enhancements, assessment strategies, and institutional initiatives.
• Conducting advanced research in the areas of Supply Chains, Logistics, and Transportation Planning utilizing sophisticated Operations Research analytics and leveraging data science tools.

Postdoctoral Researcher (07/2023-12/2024)

Université du Québec à Montréal, Montreal, Canada

Supervisors:  Prof. T. G. Crainic, and Prof. W. Rei

Responsibilities:

• Designing and implementing advanced decomposition, heuristic and metaheuristic algorithms to tackle complex problems in freight transportation and service networks;
• Actively participating in seminars and conferences to share knowledge, teach relevant concepts, and present cutting-edge research findings to the academic such as international conferences like International Symposium on Mathematical Programming and professional community Natural Sciences and Engineering Council of Canada (NSERC) and Fonds de recherche Nature et Technologies du Québec (FRQNT).

Senior Algorithm Developer

(01/2023-10/2023)

Kinaxis Company, Ontario, Canada.

Responsibilities:

• Crafting robust and efficient heuristics tailored to tackle real-world production scheduling challenges within the RapidResponse software.
• Employing the Java programming language to implement and optimize algorithms within the RapidResponse software environment, ensuring high performance and scalability.
• Working closely with cross-functional teams to understand client requirements, optimize algorithm performance, and integrate solutions seamlessly into the software platform.
• Keeping abreast of advancements in algorithmic techniques, production scheduling best practices, and software development methodologies to drive innovation and maintain competitive advantage.

Prominent Visiting Researcher

(09/2022-09/2023)

Universiti Teknologi Malaysia, Skudai, Malaysia.

Supervisor:  Prof. Kuan Yew Wong

Responsibilities:

• Conducting research on real-world optimization challenges within supply chains, transportation, and routing problems. Utilizing advanced methodologies such as Lagrangian Relaxation, Benders Decomposition, and Heuristics to develop innovative solutions and contribute to academic literature.
• Applying for research grants and actively participating in collaborative research projects, particularly focusing on operations management. Contributing expertise to joint initiatives with Universitas Indonesia to foster academic exchange and knowledge sharing.
• Designing and delivering courses on Supply and Operations Management to undergraduate or graduate students. Providing engaging lectures, assignments, and assessments to impart theoretical knowledge and practical skills in the field.
• Keeping abreast of developments in the field of operations management and optimization through continuous learning, attending conferences, workshops, and professional development activities.

Dr. Fathollahi-Fard is an internationally recognized scholar in Supply Chain Management, Transportation Planning, Production Scheduling, and Healthcare Logistics. He has published more than 100 high-impact papers and has received over 10,000 citations in leading journals, including Annals of Operations Research (ANOR), Computers & Operations Research (COR), and Transportation Research Part E (TRE), and so on. In recognition of his scholarly influence, he was named among the Top 1% Highly Cited Researchers worldwide by Clarivate (Web of Science) in 2024.

-Top 1% Highly cited researchers in 2024 based on Clarivate, Web of Science!

- International Research Grant from the State Key Laboratory of Fluid Power and Mechatronic Systems in Hangzhou, PR China, with the grant number GZKF-202317 from January 2024 to December 2025, with a total open fund of 100,000 CNY.

-Prominent Researcher Scheme from Matching Grants provided by Universiti Teknologi Malaysia (UTM) (Q.J130000.3024.04M56) and Universitas Indonesia (UI) (R.J130000.7624.4B887) from October 2022 to September 2023.

-A research grant of 75,000$ from the NSERC, grant number RGPIN-2019–05853 at École de Technologie Supérieure, Montréal, Canada, from 2020 to 2023.

-Ranked 1st among 15 M.Sc. students of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran, 2018

-Ranked 3rd among 120 B.Sc. students of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran, 2016.

1. Azadi, A. M., Ghomi, S. M. T., Ahmadi, A., & Fathollahi-Fard, A. M. (2025). A robust optimization model for the supplier portfolio selection problem using a combination of artificial fish swarm algorithm and simulated annealing. Journal of Intelligent Manufacturing (Q1, IF: 7.4), https://doi.org/10.1007/s10845-025-02675-5
2. Zhang, X., Fathollahi-Fard, A. M., Pham, D. T., Zhao, Q., Wong, K. Y., & Tian, G. (2025). An efficient multi-objective evolutionary algorithm for solving a collaborative disassembly sequence planning problem considering human–robot collaboration. Annals of Operations Research, https://doi.org/10.1007/s10479-025-06812-4 (Q1, IF:4.4)
3. Li, B., Afkhami, P., Khayamim, R., Borowska-Stefańska, M., Wiśniewski, S., Fathollahi-Fard, A. M., & Dulebenets, M. A. (2025). An intelligent hyperheuristic algorithm for the berth allocation and scheduling problem at marine container terminals. Transportation Research Part E: Logistics and Transportation Review, 198, 104104 (Q1, IF: 8.3). https://www.sciencedirect.com/science/article/pii/S1366554525001450
4. Sohrabi, M., Fathollahi-Fard, A. M., Gromov, V. A., & Dulebenets, M. A. (2025). A genetic engineering algorithm for the generalized quadratic assignment problem. Neural Computing and Applications, https://doi.org/10.1007/s00521-025-11155-z (Q1, IF:6).
5. Tian, G., Wang, M., Yang, J., Mi, H., Ullah, S., Aljuaid, M. M., & Fathollahi-Fard, A. M. (2025). Multi-objective optimization of selective maintenance process considering profitability and personnel energy consumption. Computers & Industrial Engineering, 200, 110870 (Q1, IF: 6.7). https://www.sciencedirect.com/science/article/pii/S0360835225000154
6. Lu, S., Zhang, X., Kong, M., & Fathollahi-Fard, A. M. (2025). Two-stage hybrid flow shop scheduling with sequence-dependent setup times in semiconductor manufacturing: A customized variable neighborhood search. Annals of Operations Research, https://doi.org/10.1007/s10479-025-06541-8 (Q1, IF:4.4).
7. Fathollahi-Fard, A. M., Liu, W., Du, N., & Wong, K. Y. (2025). Sustainable ridesharing routing and scheduling problem: An efficient multi-objective adaptive large neighborhood search. Annals of Operations Research, https://doi.org/10.1007/s10479-025-06477-z (Q1, IF:4.4).
8. Lu, S., Hu, C., Kong, M., Fathollahi-Fard, A. M., & Wu, B. (2025). A modified adaptive large neighborhood search algorithm for serial-batching machines scheduling considering changeover time and rate-modifying activities. Engineering Applications of Artificial Intelligence, 141, 109865 (Q1, IF: 8) https://www.sciencedirect.com/science/article/pii/S0952197624020244
9. Wu, P., Kong, M., Zhang, H., Fathollahi-Fard, A. M., & Yaseen, Z. M. (2024). Joint scheduling optimization of production assembly considering testing groups in robot manufacturing. Annals of Operations Research, 1-36. https://doi.org/10.1007/s10479-024-06410-w (Q1, IF:4.4).
10. Edalatpour, M. A., Fathollahi-Fard, A. M., Mirzapour Al-e-Hashem, S. M. J., & Wong, K. Y. (2024). Global sustainable closed-loop supply chain considering Incoterms rules and advertisement impacts. Journal of Industrial Information Integration, 100737 (Q1, IF: 10.4). https://www.sciencedirect.com/science/article/pii/S2452414X24001808
11. Zhang, W., Kong, M., Zhang, Y., Fathollahi-Fard, A. M., & Tian, G. (2025). A revised deep reinforcement learning algorithm for parallel machine scheduling problem under multi-scenario due date constraints. Swarm and Evolutionary Computation, 92, 101808 (Q1, IF: 8.2). https://www.sciencedirect.com/science/article/pii/S2210650224003468
12. Tian, G., Sheng, H., Zhang, L., Zhang, H., Fathollahi-Fard, A. M., Zhang, X., & Feng, Y. (2024). Enhancing end-of-life product recyclability through modular design and social engineering optimiser. International Journal of Production Research, 1-19. https://doi.org/10.1080/00207543.2024.2424970  (Q1, IF: 7).
13. Zhang, W., Kong, M., Zhang, Y., & Fathollahi-Fard, A. M. (2024). Proximal Policy Optimization with Population-based Variable Neighborhood Search Algorithm for Coordinating Photo-Etching and Acid-Etching Processes in Sustainable Storage Chip Manufacturing. Journal of Industrial Information Integration, 100727 (Q1, IF: 10.4). https://www.sciencedirect.com/science/article/pii/S2452414X24001705
14. Lu S., Hu C., Kong M., Fathollahi-Fard A. M., & Maxim A. Dulebenets, M. A (2024). Scheduling of memory chips for final testing on parallel machines considering power constraints and deteriorating effects, International Journal of Production Economics, 109413 (Q1, IF: 9.8). https://www.sciencedirect.com/science/article/pii/S0925527324002706 
15. Kazemi, H., Nourelfath, M., Fathollahi-Fard, A. M., & Gendreau, M. (2024). Integrated two-stage multi-factory assembly scheduling with maintenance considerations. International Journal of Production Research, 1–17. https://doi.org/10.1080/00207543.2024.2396512 (Q1, IF: 7).
16. Zhang, X., Fathollahi-Fard, A. M., Tian, G., Yaseen, Z. M., Pham, D. T., Zhao, Q., & Wu, J. (2024). Human-Robot Collaboration in Mixed-Flow Assembly Line Balancing under Uncertainty: An Efficient Discrete Bees Algorithm. Journal of Industrial Information Integration, 100676 (Q1, IF: 10.4). https://www.sciencedirect.com/science/article/pii/S2452414X24001201
17. Zhang, M., Kong, M., Shi, H., Tan, W., Fathollahi-Fard, A. M., & Yaseen, Z. M. (2024). Bi-level programming for joint order acceptance and production planning in industrial robot manufacturing enterprise. Computers & Industrial Engineering, 196, 110471 (Q1, IF: 6.7). https://www.sciencedirect.com/science/article/pii/S0360835224005928
18. Kong, M., Zhang, Y., Xu, J., Wang, W., Lu, S., & Fathollahi-Fard, A. M. (2024). A Green Scheduling Model for Two-Stage Photo-Etching and Acid-Etching Collaboration in Semiconductor Manufacturing. Journal of Industrial Information Integration, 100655 (Q1, IF: 10.4). https://www.sciencedirect.com/science/article/pii/S2452414X24000992
19. Li, M., Qi, J., Tian, X., Guo, H., Liu, L., Fathollahi-Fard, A. M., & Tian, G. (2024). Smartphone-based straw incorporation: An improved convolutional neural network. Computers and Electronics in Agriculture, 221, 109010 (Q1, IF: 7.7). https://www.sciencedirect.com/science/article/pii/S0168169924004010
20. Zhang, X., Tian, G., Fathollahi-Fard, A. M., Pham, D. T., Li, Z., Pu, Y., & Zhang, T. (2024). A chance-constraint programming approach for a disassembly line balancing problem under uncertainty. Journal of Manufacturing Systems, 74, 346-366 (Q1, IF:12.2). https://www.sciencedirect.com/science/article/pii/S0278612524000633
21. Fathollahi-Fard, A. M., Wu, P., Tian, G., Yu, D., Zhang, T., Yang, J., & Wong, K. Y. (2024). An efficient multi-objective adaptive large neighborhood search algorithm for solving a disassembly line balancing model considering idle rate, smoothness, labor cost, and energy consumption. Expert Systems with Applications, 123908, (Q1, IF:7.5). https://www.sciencedirect.com/science/article/pii/S0957417424007747
22. Fathollahi-Fard, A. M., Woodward, L., & Akhrif, O. (2024). A scenario-based robust optimization model for the distributed permutation flow-shop scheduling problem. Annals of Operations Research, https://doi.org/10.1007/s10479-024-05940-7 (Q1, IF:4.4).
23. Fathollahi-Fard, A. M., Woodward, L., & Akhrif, O. (2024). A distributed permutation flow-shop considering sustainability criteria and real-time scheduling. Journal of Industrial Information Integration, 100598 (Q1, IF: 10.4). https://www.sciencedirect.com/science/article/pii/S2452414X24000426
24. Liu, W., Dridib, M., Fathollahi-Fard, A. M., & El-Hassani, A. H. (2024). A customized adaptive large neighborhood search algorithm for solving a multi-objective home health care problem in a pandemic environment, Swarm and Evolutionary Computation, 86, 101507 (Q1, IF: 8.2). https://www.sciencedirect.com/science/article/pii/S2210650224000403
25. Pasha, J., Li, B., Elmi, Z., Fathollahi-Fard, A. M., Lau, Y. Y., Roshani, A., & Dulebenets, M. A. (2024). Electric Vehicle Scheduling: State of the Art, Critical Challenges, and Future Research Opportunities. Journal of Industrial Information Integration, 100561 (Q1, IF: 10.4). https://www.sciencedirect.com/science/article/pii/S2452414X24000050
26. Elmi, Z., Li, B., Fathollahi-Fard, A. M., Tian, G., Borowska-Stefańska, M., Wiśniewski, S., & Dulebenets, M. A. (2023). Ship schedule recovery with voluntary speed reduction zones and emission control areas. Transportation Research Part D: Transport and Environment, 125, 103957 (Q1, IF: 7.3) https://www.sciencedirect.com/science/article/pii/S1361920923003541
27. Ali, S. M., Fathollahi-Fard, A. M., Ahnaf, R., & Wong, K. Y. (2023). A multi-objective closed-loop supply chain under uncertainty: An efficient Lagrangian relaxation reformulation using a neighborhood-based algorithm. Journal of Cleaner Production, 138702, (Q1, IF:9.7) https://www.sciencedirect.com/science/article/pii/S0959652623028603
28. Fathollahi-Fard, A. M., Wong, K. Y., & Aljuaid, M. (2023). An efficient adaptive large neighborhood search algorithm based on heuristics and reformulations for the generalized quadratic assignment problem. Engineering Applications of Artificial Intelligence, 126, 106802, (Q1, IF: 8). https://www.sciencedirect.com/science/article/pii/S0952197623009867
29. Tian, G., Zhang, L., Fathollahi-Fard, A. M., Kang, Q., Li, Z., & Wong, K. Y. (2023). Addressing a Collaborative Maintenance Planning Using Multiple Operators by a Multi-Objective Metaheuristic Algorithm. IEEE Transactions on Automation Science and Engineering, 10.1109/TASE.2023.3269059 (Q1, IF:5.6) https://ieeexplore.ieee.org/abstract/document/10124861
30. Fathollahi-Fard, A. M., Tian G., Ke, H., Fu, Y & Wong, K. Y., (2023). Efficient Multi-objective Metaheuristic Algorithm for Sustainable Harvest Planning Problem. Computers & Operations Research, 158, 106304 (Q2, IF:4.6) https://www.sciencedirect.com/science/article/pii/S0305054823001685
31. Seydanlou, P., Sheikhalishahi, M., Tavakkoli-Moghaddam, R., & & Fathollahi-Fard, A. M. (2023). A customized multi-neighborhood search algorithm using the tabu list for a sustainable closed-loop supply chain network under uncertainty. Applied Soft Computing, 144, 110495, (Q1, IF:8.7). https://www.sciencedirect.com/science/article/pii/S1568494623005136
32. Zhang, L., Zhang, C., Tian, G., Chen, Z., Fathollahi-Fard, A. M., Zhao, X., & Wong, K. Y. (2023). A multi-criteria group-based decision-making method considering linguistic neutrosophic clouds. Expert Systems with Applications, 226, 119936, (Q1, IF:7.5). https://www.sciencedirect.com/science/article/pii/S0957417423004372
33. Asghari, M., Afshari, H., Mirzapour Al-e-hashem, S. M. J., Fathollahi-Fard, A. M., & Dulebenets, M. A. (2022). Pricing and advertising decisions in a direct-sales closed-loop supply chain. Computers & Industrial Engineering, 171, 108439, (Q1, IF: 6.7). https://www.sciencedirect.com/science/article/pii/S0360835222004740
34. Tian, G., Fathollahi-Fard, A. M., Ren, Y., Li, Z., Jiang, j., (2022). Multi-objective Scheduling of Priority-based Rescue Vehicles to Extinguish Forest Fires using a Multi-objective Discrete Gravitational Search Algorithm, Information Sciences, 608, 578-596, (Q1, IF:8.1). https://www.sciencedirect.com/science/article/pii/S0020025522006454
35. Moosavi, J, Fathollahi-Fard, A. M., & Dulebenets, M. A., (2022). Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies, International Journal of Disaster Risk Reduction, 75(1), 102983, (Q2, IF:5). https://www.sciencedirect.com/science/article/pii/S2212420922002023
36. Soleimani, H., Chehetri, P., Fathollahi-Fard, A. M., Mirzapour Al-e-hashem, S. M. J., & Shahparvari, S., (2022). Sustainable closed-loop supply chain with energy efficiency: Lagrangian relaxation, reformulations and heuristics, Annals of Operations Research, 318, 531-556. (Q1, IF:4.4). https://link.springer.com/article/10.1007/s10479-022-04661-z
37. Seydanlou, P., Jolai, F., Tavakkoli-Moghaddam, R., & Fathollahi-Fard, A. M. (2022). A multi-objective optimization framework for a sustainable closed-loop supply chain network in the olive industry: Hybrid meta-heuristic algorithms. Expert Systems with Applications, 203(1), 117566, (Q1, IF:7.5). https://www.sciencedirect.com/science/article/pii/S0957417422008818
38. Pasha, J., Nwodu, A. L., Fathollahi-Fard, A. M., Tian, G., Li, Z., Wang, H., & Dulebenets, M. A. (2022). Exact and metaheuristic algorithms for the vehicle routing problem with a factory-in-a-box in multi-objective settings. Advanced Engineering Informatics, 52, 101623, (Q1, IF: 8.8). https://www.sciencedirect.com/science/article/pii/S1474034622000891
39. Pasha, J., Elmi, Z., Purkayastha, S., Fathollahi-Fard, A. M., Ge, Y. E., Lau, Y. Y., & Dulebenets, M. A. (2022). The drone scheduling problem: A systematic state-of-the-art review. IEEE Transactions on Intelligent Transportation Systems. 23(9), 14224-14247, (Q1, IF: 8.5). https://ieeexplore.ieee.org/abstract/document/9733971/
40. Tian, G., Zhang, C., Fathollahi-Fard, A. M., Li,. Z., Zhang C., & Jiang, Z., (2023). An Enhanced Social Engineering Optimizer for Solving an Energy-Efficient Disassembly Line Balancing Problem Based on Bucket Brigades and Cloud Theory, IEEE Transactions on Industrial Informatics, 19(5), 7148-7159, (Q1, IF: 12.3). https://ieeexplore.ieee.org/abstract/document/9841030
41. Gholizadeh, H., Fathollahi-Fard, A. M., Fazlollahtabar, H., & Charles, V. (2022). Fuzzy data-driven scenario-based robust data envelopment analysis for prediction and optimisation of an electrical discharge machine’s parameters. Expert Systems with Applications, 193, 116419, (Q1, IF:7.5). https://www.sciencedirect.com/science/article/pii/S0957417421017061
42. Fathollahi-Fard, A. M., Hajiaghaei-Keshteli, M., Tavakkoli-Moghaddam, R., & Smith, N. R. (2022). Bi-level programming for home health care supply chain considering outsourcing. Journal of Industrial Information Integration, 25, 100246, (Q1, IF: 10.4). https://www.sciencedirect.com/science/article/pii/S2452414X21000455
43. Mojtahedi, M., Fathollahi-Fard, A. M., Tavakkoli-Moghaddam, R., & Newton, S. (2021). Sustainable vehicle routing problem for coordinated solid waste management. Journal of Industrial Information Integration, 23, 100220, (Q1, IF: 10.4). https://www.sciencedirect.com/science/article/pii/S2452414X21000200
44. Fathollahi-Fard, A. M., Dulebenets, M. A., Hajiaghaei–Keshteli, M., Tavakkoli-Moghaddam, R., Safaeian, M., & Mirzahosseinian, H. (2021). Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty. Advanced Engineering Informatics, 50, 101418, (Q1, IF: 8.8). https://www.sciencedirect.com/science/article/pii/S1474034621001701
45. Fathollahi-Fard, A. M., Woodward, L., & Akhrif, O. (2021). Sustainable distributed permutation flow-shop scheduling model based on a triple bottom line concept. Journal of Industrial Information Integration, 100233, (Q1, IF: 10.4). https://www.sciencedirect.com/science/article/pii/S2452414X21000339
46. Pasha, J., Dulebenets, M. A., Fathollahi-Fard, A. M., Tian, G., Lau, Y. Y., Singh, P., & Liang, B. (2021). An integrated optimization method for tactical-level planning in liner shipping with heterogeneous ship fleet and environmental considerations. Advanced Engineering Informatics, 48, 101299, (Q1, IF: 8.8). https://www.sciencedirect.com/science/article/pii/S1474034621000537
47. Theophilus, O., Dulebenets, M. A., Pasha, J., Lau, Y. Y., Fathollahi-Fard, A. M., & Mazaheri, A. (2021). Truck scheduling optimization at a cold-chain cross-docking terminal with product perishability considerations. Computers & Industrial Engineering, 156, 107240, (Q1, IF: 6.7). https://www.sciencedirect.com/science/article/pii/S0360835221001443
48. Fathollahi-Fard, A. M., Ahmadi, A., & Al-e-Hashem, S. M. (2020). Sustainable closed-loop supply chain network for an integrated water supply and wastewater collection system under uncertainty. Journal of Environmental Management, 275, 111277, (Q1, IF: 8). https://www.sciencedirect.com/science/article/pii/S0301479720312019
49. Fathollahi-Fard, A. M., Ahmadi, A., Goodarzian, F., & Cheikhrouhou, N. (2020). A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment. Applied soft computing, 93, 106385, (Q1, IF: 8.7). https://www.sciencedirect.com/science/article/pii/S1568494620303252
50. Fathollahi-Fard, A. M., Hajiaghaei-Keshteli, M., & Tavakkoli-Moghaddam, R. (2020). Red deer algorithm (RDA): a new nature-inspired meta-heuristic. Soft Computing, 24(19), 14637-14665, (Q2, IF: 4.1). https://link.springer.com/article/10.1007/S00500-020-04812-Z
51. Zhang, C., Tian, G., Fathollahi-Fard, A. M., Wang, W., Wu, P., & Li, Z. (2020). Interval-valued intuitionistic uncertain linguistic cloud petri net and its application to risk assessment for subway fire accident. IEEE transactions on automation science and engineering. 45(3), 7423-7431, (Q1, IF:5.6). https://ieeexplore.ieee.org/abstract/document/9178460
52. Fathollahi-Fard, A. M., Hajiaghaei-Keshteli, M., & Mirjalili, S. (2020). A set of efficient heuristics for a home healthcare problem. Neural Computing and Applications, 32(10), 6185-6205, (Q1, IF:6). https://link.springer.com/article/10.1007/s00521-019-04126-8
53. Fathollahi-Fard, A. M., Hajiaghaei-Keshteli, M., Tian, G., & Li, Z. (2020). An adaptive Lagrangian relaxation-based algorithm for a coordinated water supply and wastewater collection network design problem. Information Sciences, 512, 1335-1359, (Q1, IF:8.1). https://www.sciencedirect.com/science/article/pii/S0020025519310308
54. Fathollahi-Fard, A. M., Govindan, K., Hajiaghaei-Keshteli, M., & Ahmadi, A. (2019). A green home health care supply chain: New modified simulated annealing algorithms. Journal of Cleaner Production, 240, 118200, (Q1, IF: 9.7). https://www.sciencedirect.com/science/article/pii/S0959652619330707
55. Fathollahi-Fard, A. M., Ranjbar-Bourani, M., Cheikhrouhou, N., & Hajiaghaei-Keshteli, M. (2019). Novel modifications of social engineering optimizer to solve a truck scheduling problem in a cross-docking system. Computers & Industrial Engineering, 137, 106103, (Q1, IF: 6.7). https://www.sciencedirect.com/science/article/pii/S0360835219305728
56. Fu, Y., Tian, G., Fathollahi-Fard, A. M., Ahmadi, A., & Zhang, C. (2019). Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint. Journal of cleaner production, 226, 515-525, (Q1, IF: 9.7). https://www.sciencedirect.com/science/article/pii/S0959652619311163
57. Hajiaghaei-Keshteli, M., & Fathollahi-Fard, A. M., (2019). Sustainable closed-loop supply chain network design with discount supposition. Neural computing and applications, 31(9), 5343-5377, (Q1, IF:6). https://link.springer.com/article/10.1007/s00521-018-3369-5
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