Dr. Narender Kumar

Assistant Professor · Mechanical Engineering

amity University Gurugram

Author

APID

13188

Location

Gurugram, Haryana, India

Expertise

Industrial Engineering

Areas of interest

Big data Analytics, digitalization of manufacturing sector, Supply Chain Management, Industry 4.0

Member since

July 2026

Biography

Dr. Narender Kumar is an Assistant Professor at Amity University Gurgaon, Haryana, India. He has done his B. Tech. in mechanical Engineering from Kurukshetra University Kurukshetra, M.Tech in industrial Engineering from Indian Institute of Technology Delhi (IITD), India and Ph. D from Delhi Technological University Delhi (DTU), India. He has published research papers in reputed international/national journals and conferences . He has 17 years of experience in teaching at undergraduate and postgraduate level. His areas of interest include Operation research, total quality management and quality assurance, Manufacturing Engineering, Optimization Technique, supply chain management and supply chain management. He is a member of many national/international societies viz. Indian Society for Technical Education (ISTE), International Journal of Online Engineering (IJOE), World Metal Forum (WMF), International Association of Engineers (IAENG), American Solar Energy Society (ASES), Institution of Engineering and Technology (IET), Society of automotive engineers (SAE India).

Publications

1. Analysis of barriers intensity for investment in big data analytics for sustainable manufacturing operations in post-COVID-19 pandemic era
2. Analysis of barriers intensity for investment in big data analytics for sustainable manufacturing operations in post-COVID-19 pandemic era
3. Big data analytics adoption for improving organization flexibility and supply chain resilience: an empirical study
4. Big data analytics adoption for improving organization flexibility and supply chain resilience: an empirical study
5. Big data analytics application for sustainable manufacturing operations: analysis of strategic factors
6. Big data analytics application for sustainable manufacturing operations: analysis of strategic factors
7. Edible electronics integrated with Artificial Intelligence: A comparative framework across Industry 3.0, 4.0, and 5.0 for smart and sustainable supply chain management
8. Edible electronics integrated with Artificial Intelligence: A comparative framework across Industry 3.0, 4.0, and 5.0 for smart and sustainable supply chain management
9. Enhance operational efficiency of manufacturing process using Six Sigma in small scale manufacturing industry: DMAIC approach
10. Enhance operational efficiency of manufacturing process using Six Sigma in small scale manufacturing industry: DMAIC approach
11. Prioritization of functional areas in manufacturing sector for BDA application
12. Prioritization of functional areas in manufacturing sector for BDA application