Mojtaba Afzalirad
Papers
2
Total Citations
215
H-Index
2
About
Dr. Mojtaba Afzalirad is a leading figure in operations research and production scheduling, with a focused expertise in solving complex, resource-constrained parallel machine problems. His major contributions lie in developing exact and metaheuristic methods for the unrelated parallel machine scheduling problem, incorporating real-world constraints such as sequence-dependent setup times, precedence relationships, and machine eligibility restrictions. His seminal 2016 paper, with 132 citations, provides a robust mathematical model and solution approach for this challenging NP-hard problem, while his 2015 work, cited 83 times, introduces an efficient genetic algorithm that balances solution quality and computational speed. These works have become foundational references for researchers and practitioners in manufacturing and logistics, demonstrating how to integrate resource constraints into scheduling decisions. Dr. Afzalirad’s research is notable for bridging theoretical optimization with practical industrial requirements, offering scalable algorithms that improve productivity and resource utilization. His work continues to influence the design of intelligent scheduling systems in modern production environments.
Research Focus
Key Achievements
Top Papers
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