Towfique Rahman
Papers
1
Total Citations
2
H-Index
1
About
Towfique Rahman is an emerging researcher whose work sits at the critical intersection of operations research, sustainability, and supply chain management. His primary focus is on developing and evaluating computational tools that enable more environmentally responsible and efficient supply chain networks. Rahman’s most notable contribution, the 2024 review "A review of computational tools, techniques, and methods for sustainable supply chains," synthesizes a rapidly growing field, providing a crucial roadmap for practitioners and academics alike. This work, already garnering early citations, systematically categorizes optimization models, simulation methods, and decision-support systems that can reduce carbon footprints and waste in global logistics. By bridging the gap between theoretical algorithms and real-world application, Rahman is helping to define the methodological backbone for the next generation of green supply chain design. His research is particularly timely as industries face increasing pressure to meet net-zero targets. As his citation profile begins to grow, Rahman is establishing himself as a key voice in the push toward data-driven sustainability, making his work essential reading for any student or researcher interested in how computational innovation can drive meaningful environmental change.
Research Focus
Key Achievements
Top Papers
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