Associate Professor at Isfahan University of Technology, Iran
Dr. Mehdi Alinaghian is an accomplished Associate Professor of Industrial Engineering at Isfahan University of Technology, widely recognized for his expertise in supply chain optimization, operations research, and logistics systems under uncertainty. With a research impact surpassing 1,600 citations on Google Scholar, he has contributed significantly to the development of novel optimization models, particularly in the fields of competitive vehicle routing, stochastic logistics, and disaster relief supply chains. His blend of academic rigor and applied research has earned him a reputation as a thought leader in industrial engineering both nationally and internationally.
Profile
Google Scholar
Education
Dr. Alinaghian holds a Ph.D. in Industrial Engineering, through which he specialized in operations research and optimization. His academic journey has been marked by a strong foundation in quantitative methods, logistics planning, and mathematical modeling. His doctoral research laid the groundwork for his later innovations in robust and fuzzy optimization, aligning well with global needs for resilient supply chain systems in dynamic and uncertain environments.
Experience
With over a decade of academic and industry-focused experience, Dr. Alinaghian has built a robust career centered around logistics engineering and operational performance enhancement. He has served as a faculty member at Isfahan University of Technology, mentoring numerous graduate students and contributing to the university’s research mission. His collaborations span both local and international institutions, including the University of Tehran, Sharif University of Technology, and other global research bodies. Beyond academia, he has led optimization projects with major Iranian industries such as FooladMobarakeh Steel, SAIPA Automotive, and Iran Tobacco Company, significantly enhancing operational efficiencies through innovative modeling techniques and simulations.
Research Interest
Dr. Alinaghian’s research interests encompass a range of topics within industrial engineering, with a distinct emphasis on optimization under uncertainty. He is particularly drawn to competitive vehicle routing problems, stochastic logistics networks, and multi-objective inventory systems. His work often integrates techniques such as goal programming, fuzzy logic, and metaheuristic algorithms to address real-world challenges in supply chain and disaster management logistics. A central theme in his research is resilience—developing systems that perform effectively even in unpredictable and crisis-prone environments.
Award
Dr. Alinaghian’s excellence in research and scholarly contribution has been widely acknowledged. He was honored as one of the Top 5% Cited Researchers in the Journal of Advanced Manufacturing Technology from 2014 to 2016, highlighting his sustained impact in the field. He also received the Best Paper Award at the International Conference on Operations Research in 2012, affirming the innovation and relevance of his work in supply chain optimization and industrial systems modeling.
Publication
Among his many publications, several works have emerged as key contributions to the field. In 2011, he co-authored “A hybrid memetic algorithm for maximizing just-in-time jobs on unrelated parallel machines”, published in the Journal of Intelligent Manufacturing, which has been cited over 190 times and introduced a novel optimization model for scheduling in manufacturing environments. His 2014 paper, “Robust optimization for disaster relief logistics under uncertainty”, in the Journal of Advanced Manufacturing Technology, has garnered 150+ citations and is widely recognized for its practical relevance in crisis logistics. In 2013, he published “Competitive vehicle routing with stochastic travel times: Goal programming approach” in the Journal of Intelligent Manufacturing, which has been cited over 120 times and addressed the complexities of routing under uncertainty. Additionally, his 2014 contribution, “Multi-objective inventory routing with step cost functions: MOPSO approach”, also in Advanced Manufacturing Technology, received nearly 90 citations for advancing multi-objective inventory management techniques. These publications not only reflect his technical depth but also his consistent engagement with pressing industrial and humanitarian challenges through scholarly research.
Conclusion
Dr. Mehdi Alinaghian stands out as a dynamic scholar and practitioner whose work bridges the gap between theory and application in industrial engineering. His combination of methodological innovation, interdisciplinary collaboration, and real-world problem-solving has positioned him as a key contributor to the evolving landscape of supply chain and logistics research. As an academic leader, he continues to influence the next generation of engineers through teaching, mentorship, and global research partnerships. His work has not only advanced academic knowledge but has also delivered tangible outcomes for industries navigating complexity and uncertainty, reinforcing his suitability for award nomination and recognition in the field of operations research.