Sazid Rahman
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Rajshahi University of Engineering and Technology (2021)
Unknown Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Sazid Rahman's research centers on supply chain resilience and sustainability, particularly within manufacturing and healthcare contexts. His work utilizes data fusion techniques to develop indices for assessing cyber resilience and overall resiliency-sustainability-cybersecurity. Rahman has investigated methods to enhance the viability of green supply chain management initiatives and employed fuzzy DEMATEL approaches to model resilience drivers, notably in the context of COVID-19 impacts on manufacturing industries. His research also extends to the assessment of building façade conditions using multicriterial approaches. Rahman holds a h-index of 2 with 4 publications and 55 citations.
Metrics
- h-index: 2
- Publications: 4
- Citations: 55
Selected Publications
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Cyber-susiliency index: A comprehensive resiliency-sustainability-cybersecurity index for healthcare supply chain networks (2023)
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Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL (2023)
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Enhancing the Viability of Green Supply Chain Management Initiatives Leveraging Data Fusion Technique (2023)
Collaboration Network
Top Collaborators
- Cyber-susiliency index: A comprehensive resiliency-sustainability-cybersecurity index for healthcare supply chain networks
- Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL
- Enhancing the Viability of Green Supply Chain Management Initiatives Leveraging Data Fusion Technique
- Enhancing the Viability of Green Supply Chain Management Initiatives Leveraging Data Fusion Technique
- Enhancing the Viability of Green Supply Chain Management Initiatives Leveraging Data Fusion Technique
- Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL
- Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL
- Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL
- Cyber-susiliency index: A comprehensive resiliency-sustainability-cybersecurity index for healthcare supply chain networks
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