Bhavna Pandey

Bhavna Pandey

Assistant Professor

Profile Summary

Dr. Bhavna Pandey is an academic and researcher specialising in operations and manufacturing management, with a focus on Industry 4.0 and smart manufacturing. Her work explores lean systems, sustainable production, and digital transformation in manufacturing environments. 

Her doctoral research examines the role of Industry 4.0 in enhancing lean and sustainable performance in Indian manufacturing firms. She combines academic rigour with practical relevance, bringing industry-oriented perspectives into teaching across operations and supply chain domains.

Work Experience

Dr. Pandey has over 3.5 years of teaching experience at the Chartered Institute of Technology, Abu Road, where she taught courses in operations and production management. She has contributed to academic delivery, student mentoring, and outcome-based education initiatives.

Research Interests

Industry 4.0 implementation; smart manufacturing systems; lean and sustainable manufacturing; digital transformation; supply chain digitalisation; data-driven decision-making.

Teaching Philosophy

Her teaching approach integrates conceptual clarity with real-world application. Through case discussions, practical examples, and problem-solving exercises, she encourages analytical thinking and decision-making skills. 

She fosters an interactive learning environment that prepares students to adapt to evolving industrial and digital ecosystems.

Courses Taught

Operations Research; Production Management; Project Management; Supply Chain Management; Industrial Engineering; Total Quality Management.

 

Awards and Grants

Recipient of national fellowships from the Ministry of Education (PhD) and Ministry of Human Resource Development (M.Tech), Government of India. 

Scholarly Activities

Dr. Pandey’s research focuses on Industry 4.0, lean systems, and sustainable manufacturing. She has published in Scopus and Web of Science-indexed journals, including Expert Systems with Applications, Engineering Management Journal, The TQM Journal, and International Journal of Productivity and Performance Management. 

Her work contributes to advancing data-driven and sustainable manufacturing practices in industrial contexts.