S
Sazid Rahman Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
2 h-index
4 pubs
55 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Sazid Rahman's research focuses on supply chain resilience, sustainability, and cybersecurity. His work has explored the development of indices to assess these factors in various contexts, including additive manufacturing and healthcare supply chains. Rahman has investigated methods such as data fusion techniques and approximate fuzzy DEMATEL to model and enhance the viability of green supply chain management initiatives. His research also extends to assessing the condition of traditional building facades. He has authored publications on these topics, with a recent focus on COVID-19's impact on manufacturing industries and healthcare supply chains. His scholarship metrics include an h-index of 2 and a total of 4 publications with 52 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
Niamat Ullah Ibne Hossain
Arkansas State University (US)
4 shared publications
- Assessing cyber resilience of additive manufacturing supply chain leveraging data fusion technique: A model to generate cyber resilience index of a supply chain
- 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
Mohammad Ashraf Abdul Rahman
Tun Hussein Onn University of Malaysia (MY)
1 shared publication
- Multicriterial Approach for Traditional Shop Houses Façade Condition Assessment
Suraya Hani Adnan
Tun Hussein Onn University of Malaysia (MY)
1 shared publication
- Multicriterial Approach for Traditional Shop Houses Façade Condition Assessment
Edie Ezwan Mohd Safian
1 shared publication
- Multicriterial Approach for Traditional Shop Houses Façade Condition Assessment
Norfashiha Hashim
University of Technology Malaysia (MY)
1 shared publication
- Multicriterial Approach for Traditional Shop Houses Façade Condition Assessment
Kannan Govindan
Yonsei University (KR)
1 shared publication
- Assessing cyber resilience of additive manufacturing supply chain leveraging data fusion technique: A model to generate cyber resilience index of a supply chain
Farjana Nur
Mississippi State University (US)
1 shared publication
- Assessing cyber resilience of additive manufacturing supply chain leveraging data fusion technique: A model to generate cyber resilience index of a supply chain
Mahathir Mohammad Bappy
Mississippi State University (US)
1 shared publication
- Assessing cyber resilience of additive manufacturing supply chain leveraging data fusion technique: A model to generate cyber resilience index of a supply chain
Adhir Roy
Khulna University of Engineering and Technology (BD)
1 shared publication
- Enhancing the Viability of Green Supply Chain Management Initiatives Leveraging Data Fusion Technique
Md. Saiful Islam
Khulna University of Engineering and Technology (BD)
1 shared publication
- Enhancing the Viability of Green Supply Chain Management Initiatives Leveraging Data Fusion Technique
Md. Rayhan Sarker
Bangladesh University of Engineering and Technology (BD)
1 shared publication
- Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL
Syed Mithun Ali
Bangladesh University of Engineering and Technology (BD)
1 shared publication
- Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL
Ernesto D.R. Santibañez González
University of Talca (CL)
1 shared publication
- Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL
Sharmine Akther Liza
Lehigh University (US)
1 shared publication
- Cyber-susiliency index: A comprehensive resiliency-sustainability-cybersecurity index for healthcare supply chain networks
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