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Assistant Professor
Chairperson - Experiential Learning

Operations Management & Decision Sciences

(Ext - 253)

Dheeraj Chandra obtained a Ph.D. in Supply Chain Management from the Indian Institute of Technology Roorkee, a Master of Technology in Industrial Engineering from the Indian Institute of Technology Delhi, and a Bachelor of Technology in Production Engineering from the G.B. Pant University of Agriculture & Technology Pantnagar, Uttarakhand. Before joining the Indian Institute of Management Kashipur, he served as an Assistant Professor at the Lal Bahadur Shastri Institute of Management Delhi. Following the completion of his Ph.D., he worked as a Postdoctoral Fellow at the Industrial and Management Engineering Department of Indian Institute of Technology Kanpur for about three years. Additionally, he worked for about two years as a Business Analyst at Genpact India following the completion of his master’s degree. His research interests include supply chain contracts, healthcare operations, optimization in operations management, multi-criteria decision-making. He has published research papers in international journals of repute such as Omega, Industrial Management & Data Systems, Expert Review of Vaccines. His paper published in Omega is among the Top 25 cited articles of 2021. He is passionate about research and teaching and enjoys designing and solving mathematical models. He is one of the few scholars in the country to work extensively on the topic of the vaccine supply chain to improve the child immunization rates.

  • Chandra, D., Jain, V. & Chan, F.T.S. (2024). An incentive mechanism contract model to coordinate a vaccine supply chain under demand uncertainty. Industrial Management & Data Systems, 124(1), 182-211.
  • Chandra, D., Vipin, B., & Kumar, D. (2023). A fuzzy multi-criteria framework to identify barriers and enablers of the next-generation vaccine supply chain. International Journal of Productivity and Performance Management72(3), 827–847.
  • Shweta, Kumar, D., & Chandra, D. (2023). A hybrid framework to model resilience in the generic medicine supply chain of MSMEs. Benchmarking30(6), 2189–2224.
  • Chandra, D., & Kumar, D. (2021). Evaluating the effect of key performance indicators of vaccine supply chain on sustainable development of mission indradhanush: A structural equation modeling approach. Omega, 101, 102258.
  • Chandra, D., & Vipin, B. (2021). On the vaccine supply chain coordination under subsidy contract. Vaccine39(30), 4039–4045.
  • Chandra, D., & Kumar, D. (2020). Prioritizing the vaccine supply chain issues of developing countries using an integrated ISM-fuzzy ANP framework. Journal of Modelling in Management15(1), 112–165.
  • Chandra, D., & Kumar, D. (2019). Two-way assessment of key performance indicators to vaccine supply chain system in India. International Journal of Productivity and Performance Management68(1), 194–230.
  • Chandra, D., & Kumar, D. (2018). A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries. Expert Review of Vaccines17(3), 263–281.
  • Chandra, D., & Kumar, D. (2018). Analysis of vaccine supply chain issues using ISM approach. International Journal of Logistics Systems and Management31(4), 449–482.

  • Decision Modelling
  • Operations and Supply Chain Management
  • Seminar on Research Methods
  • Experiential Learning

  • Awarded with Institute Postdoctoral Fellowship from IIT Kanpur (2019-2022).
  • Awarded the Early Bird Prize from Genpact India for completing a productivity project within the stipulated time under the Kaizenation program (2012).

  • Ph.D. Hostel Warden
  • Member Student Affairs Committee
  • Member Grievance Redressal Committee

PhD: Ph.D. in Supply Chain Management from Indian Institute of Technology Roorkee
Masters: M. Tech. in Industrial Engineering from Indian Institute of Technology Delhi
Bachelors: B. Tech in Production Engineering from G.B. Pant University of Agriculture & Technology Pantnagar, Uttarakhand

Supply Chain Contracts, Healthcare Operations, Optimization in Operations Management, Multi-Criteria Decision-Making