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https://nabildewan.github.io/alyoyo.github.io/divider3.html
https://nabildewan.github.io/alyoyo.github.io/8citationscounterclaude.html
Research AgendaMy research focuses on the intersection of supply chain management and technology, leveraging data analytics, business intelligence, and digital transformation to enhance the overall efficiency, resilience, and sustainability. I explore how emerging technologies, such as blockchain, AI, and IoT, can optimize real-time visibility, automation, and decision-making in complex supply chains. Additionally, I analyze barriers to technology adoption and develop strategic frameworks to drive innovation and adaptability in modern supply chain systems.
Key Field of Interest : Green and Sustainable Supply Chains, Optimization, Operations Research, Smart Manufacturing, Digital Twins, Big Data Analytics.
https://nabildewan.github.io/alyoyo.github.io/unsdg.html
Publicationshttps://nabildewan.github.io/alyoyo.github.io/3publicationtrack.html
# Publication from Undergraduate Project:
- “Managing supply chain performance using a real time Microsoft Power BI dashboard by action design research (ADR) method.” : **Dewan Hafiz Nabil,** Md. Habibur Rahman, Altaf HC, Dr. Brenno C. Menezes ( Published in Cogent Engineering, Taylor & Francis**,**Volume: 10, Issue: 02, Pages : 1-19 ) | 52 Citations |
DOI:10.1080/23311916.2023. **|
- Abstract
- ****View PDF ****
# Publication from Undergraduate Thesis:
- “Enhancing Resilience in Transnational E-Commerce Supply Chains: Critical Factors, Perspectives and Strategic Action Plan. “ : **Dewan Hafiz Nabil** , Al Amin, Roberto Baldacci (Published, in Heliyon, Cell Press) | 14 Citations |
DOI:10.1016/j.heliyon.2024.e31274 | **
- Abstract
- View PDF
# Publication from Collaborative Work:
- “Exploring Blockchain Implementation Challenges for Sustainable Supply Chains: An Integrated Fuzzy TOPSIS-ISM Approach”: Al Amin , **Dewan Hafiz Nabil,** Roberto Baldacci, Habibur Rahman ( Published , Sustainability, MDPI, Volume: 15, Issue: 18, Pages : 1-25 ) | 29 Citations |
DOI:10.3390/su151813891 |
- Abstract
- View PDF ****