Innovative Research Award
Saeid Rezaei — Bu-Ali Sina University, Iran
Saeid Rezaei is a researcher and lecturer affiliated with Bu-Ali Sina University in Iran. His academic profile combines industrial engineering, operations research, supply chain and logistics, sustainable development, optimization, decision-making, and data-oriented analytical methods. His documented publications include studies of sustainable closed-loop supply chains, cross-docking, reverse logistics, competitive networks, and virtual alliances.[1]
Abstract
Saeid Rezaei’s academic work is situated primarily within industrial engineering and operations research, with research interests spanning supply chain and logistics, sustainable development, multi-objective decision-making, game theory, production planning, transportation planning, and data analysis. His publication record includes research on sustainable closed-loop supply chains, cross-docking operations, reverse logistics, competitive supply networks, and virtual alliances.[1][2]
Keywords
Industrial Engineering; Query Optimization; Operations Research; Supply Chain Management; Sustainable Supply Chains; Closed-Loop Supply Chains; Cross-Docking; Reverse Logistics; Multi-Objective Decision Making; Game Theory; Data Analysis; Production Planning; Logistics.
Introduction
Saeid Rezaei’s academic profile reflects an interdisciplinary approach to industrial engineering and decision sciences. His stated interests include supply chain and logistics, competitive planning, sustainable development, operations research, production and service strategy, transportation planning, and engineering economy. These areas provide a methodological context for his published studies of network design and optimization.[1][2]
Research Profile
Saeid Rezaei holds a Ph.D. in Industrial Engineering from the Department of Industrial Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran. His professional background includes university lecturing and industry consulting, with research interests spanning supply chain and logistics, operations research and optimization, multi-objective decision-making, game theory, sustainable development, production planning, data analysis, and computational methods. His technical skills include GAMS, MATLAB, Python, RapidMiner, SPSS, Microsoft Project, and engineering and statistical methods.
Research Contributions
Saeid Rezaei’s documented research contributions address sustainable closed-loop supply chain network design, cross-docking, reverse logistics, competitive supply networks, and partnership structures. One study develops a comprehensive approach combining sustainable closed-loop network design with cross-docking operations, while later work examines competitive and sustainable decisions across multi-echelon supply chains.[1][2]
Publications
Saeid Rezaei’s publications focus on sustainable supply chain networks, closed-loop logistics, cross-docking operations, reverse logistics, competitive supply networks, and virtual alliances. His research examines optimization-based approaches to sustainable production, multi-echelon supply chains, strategic decision-making, and partnership structures. His scholarly work has appeared in international journals, including Computational and Mathematical Organization Theory, Environment, Development and Sustainability, Production Engineering, and Journal of Cleaner Production, demonstrating continued contributions to quantitative modeling, supply chain optimization, sustainability, and operations research. [2][3][4][5][6]
Research Impact
The supplied Google Scholar profile records 32 documents, 275 citations, and an h-index of 8. These figures are profile-level bibliometric indicators and should be interpreted according to the indexing coverage, date of retrieval, and citation practices of the underlying database.[1]
Award Suitability
For the International Database Scientist Awards, the supplied profile provides documented evidence of research activity in optimization, quantitative decision-making, data analysis, and computational approaches. His publication record also demonstrates sustained work on network optimization and analytical supply-chain models, providing research areas that can be considered in the context of an Innovative Research Award nomination.[1][6]
Conclusion
Saeid Rezaei’s documented academic profile combines industrial engineering, operations research, optimization, supply chain management, sustainability, and data analysis. His selected publications provide evidence of research on closed-loop networks, cross-docking, reverse logistics, competitive supply networks, and virtual alliances, while the supplied scholarly metrics provide additional bibliometric context.[1][2][6]
External Links
References
- Google Scholar. (n.d.). Saeid Rezaei, Google Scholar profile, user ID rnUbxhAAAAAJ. https://scholar.google.com/citations?user=rnUbxhAAAAAJ&hl=en
- Rezaei, S., & Kheirkhah, A. (2018). A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations. Computational and Mathematical Organization Theory, 24(1), 51–98. https://doi.org/10.1007/s10588-017-9247-3
- Rezaei, S., & Maihami, R. (2020). Optimizing the sustainable decisions in a multi-echelon closed-loop supply chain of the manufacturing/remanufacturing products with a competitive environment. Environment, Development and Sustainability, 22(7), 6445–6471. https://doi.org/10.1007/s10668-019-00491-5
- Kheirkhah, A., & Rezaei, S. (2016). Using cross-docking operations in a reverse logistics network design: A new approach. Production Engineering, 10(2), 175–184. https://doi.org/10.1007/s11740-015-0646-3
- Rezaei, S., & Kheirkhah, A. (2017). Applying forward and reverse cross-docking in a multi-product integrated supply chain network. Production Engineering, 11(4), 495–509. https://doi.org/10.1007/s11740-017-0743-6
- Rezaei, S., & Behnamian, J. (2021). A survey on competitive supply networks focusing on partnership structures and virtual alliance: New trends. Journal of Cleaner Production, 287, 125031. https://doi.org/10.1016/j.jclepro.2020.125031