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DHANSHYAM V. S. MAHAVADI
Quantitative Methods and Operations Management
Professional Summary
Dr. Dhanshyam Mahavadi is an Assistant Professor in Quantitative Methods and Operations Management at IIM Amritsar. He is a Ph.D. from the Indian Institute of Management Lucknow. Before joining IIMAm, he undertook academic assignments at reputed Management Institutions such as the IRMA, Goa Institute of Management, and Jindal Global Business School. He has an industry experience of nine years in companies such as Coal India Limited (CIL) and Jindal Steel and Power Limited. His experience comprises Project Management, Maintenance and Safety Management, Quality Management, Procurement planning and Public Administration.
Contact Information
dhanshyamm@iimamritsar.ac.in
About
Dr. Dhanshyam Mahavadi is an Assistant Professor in Quantitative Methods and Operations Management at IIM Amritsar. He is a Ph.D. from the Indian Institute of Management Lucknow. Before joining IIMAm, he undertook academic assignments at reputed Management Institutions such as the IRMA, Goa Institute of Management, and Jindal Global Business School. He has an industry experience of nine years in companies such as Coal India Limited (CIL) and Jindal Steel and Power Limited. His experience comprises Project Management, Maintenance and Safety Management, Quality Management, Procurement planning and Public Administration.
His research interests are in the areas of Public Procurement, Public Private Partnerships and Public Infrastructure contracts, Waste Management, and Energy Transition. In his research, he works on the contracts and policy frameworks across these domains. He has published research articles in journals of international repute, including Transportation Research: Part A, Public Management Review, Journal of Construction Engineering and Management, Construction Management and Economics, and Resources Conservation and Recycling.
His teaching interests include Operations Management, Supply Chain Management, Operations Strategy, Quality Management, Process Analysis, Project Management, and Business Statistics.
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