Professor at Shahed University, Iran
Professor Rashed Sahraeian is a distinguished full professor in the Department of Industrial Engineering at Shahed University, Tehran, Iran. His career reflects a deep dedication to the fields of optimization, supply chain management (SCM), facility location problems (FLP), and location-routing problems (LRP). Professor Sahraeian is widely recognized for his extensive contributions to academia through impactful research, prolific publications, mentorship of graduate students, and active participation in peer reviewing for top international journals. His scholarly excellence and commitment to industrial engineering have made him a prominent figure both nationally and internationally.
Profile
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Education
Professor Sahraeian’s educational foundation is rooted in industrial engineering, where he specialized in operations research and optimization methodologies. Throughout his academic training, he developed a keen interest in complex decision-making models, quantitative analysis, and supply chain design. His formal education provided him with advanced competencies in mathematical modeling, computational techniques, and logistics systems, setting a robust stage for his future contributions to the domain.
Experience
With an academic career spanning over two decades, Professor Sahraeian has amassed extensive experience in teaching, research, and supervision. He has taught specialized courses including Facility Layout and Location, Supply Chain Management, Scheduling and Sequencing, and Integer Programming. As a dedicated mentor, he has supervised over 55 Master’s theses and 12 Ph.D. dissertations, nurturing the next generation of engineers and researchers. His practical involvement extends beyond academia, where he applies his research findings to real-world industrial problems, emphasizing sustainable and resilient supply chain solutions. Furthermore, his active role as a reviewer for high-impact journals underscores his expertise and reputation in the global academic community.
Research Interest
Professor Sahraeian’s primary research interests encompass optimization in industrial systems, closed-loop supply chain design, facility location under uncertainty, and robust scheduling. He is particularly passionate about solving multi-objective optimization problems in logistics and production environments, employing innovative methods such as hybrid evolutionary algorithms, constraint programming, and grey system theory. His recent work also extends into sustainable supply chain network design, considering environmental factors and resilience against disruptions, aligning closely with contemporary industrial needs and global sustainability goals.
Award
Throughout his academic journey, Professor Sahraeian has been recognized for his outstanding research and educational contributions. He has earned awards and acknowledgments for his significant role in advancing industrial engineering, particularly for his impactful publications and excellence in student supervision. His recognition as a leading figure in optimization and supply chain management is further evidenced by his continuous invitations to review papers for prestigious journals such as the Journal of Cleaner Production, Computers & Industrial Engineering, and Applied Mathematical Modelling.
Publication
Among his many publications, seven notable works illustrate his influential contributions.
(1) In 2012, he co-authored “An interactive possibilistic programming approach for a multi-objective closed-loop supply chain network under uncertainty” in Applied Mathematical Modelling (cited by 340 articles).
(2) In 2013, he published “The hierarchical hub covering problem with an innovative allocation procedure covering radiuses” in Scientia Iranica (cited by 85 articles).
(3) In 2014, his study on “Dynamic multi-commodity inventory and facility location problem in steel supply chain network design” appeared in the International Journal of Advanced Manufacturing Technology (cited by 110 articles).
(4) In 2015, he explored “Optimal modeling and evaluation of job shops with a total weighted tardiness objective” in Applied Mathematical Modelling (cited by 92 articles).
(5) That same year, he co-authored “Augmented ε-constraint method in multi-objective flow shop problem with past sequence setup times” in the International Journal of Production Research (cited by 70 articles).
(6) In 2016, he contributed “MULTI-OBJECTIVE OPTIMIZATION OF INTEGRATED LOT-SIZING AND SCHEDULING PROBLEM IN FLEXIBLE JOB SHOPS” to RAIRO Operations Research (cited by 60 articles).
(7) In 2024, he published “Decision-Making Approach to Design a Sustainable Photovoltaic Closed-Loop Supply Chain Considering Market Share for Electric Vehicle Energy” in Sustainability (garnering growing citations). These selected publications emphasize his research depth and broad application impact.
Conclusion
In conclusion, Professor Rashed Sahraeian has made outstanding contributions to the advancement of industrial engineering, particularly in optimization and supply chain network design. His research innovations, leadership in education, and strong publication record position him as a leading figure in his field. Through a combination of theoretical rigor and practical relevance, he continues to influence the discipline of industrial engineering, inspiring students and colleagues alike. His career trajectory exemplifies academic excellence, practical relevance, and a deep commitment to solving real-world industrial challenges through advanced research methodologies.