Admission started for 2020


Dr. Sameer Mittal

Assistant Professor

Institute of Management







MY BIOGraphy

Dr. Sameer Mittal is throughout specialized in industrial engineering and management. He is familiar with both the quantitative and qualitative tools. The broad research area pf Dr. Sameer Mittal is to study the impact of Industry 4.0 technologies on operations management.

Industry 4.0Product-Service SystemsIndustrial EngineeringOperations Management

Smart Manufacturing adoption framework for Small and Medium-sized Enterprises.Investigating IIoT impact on non-ownership business models using morphological box approach.Investigating how servitization and product-service systems can facilitate the implementation of circular economy. 

National Science Foundation funding to participate and attend NAMRC 2019 conference at Erie, Pennsylvania.Member of Industrial Engineering honor society Alpha-Pi-Mu.Academic record lead to the receiving of full tuition waiver and assistantship from West Virginia University during Ph. D.Received funding from MHRD during masters.

Mittal, S., Khan, M. A., Purohit, J. K., Menon, K., Romero, D., & Wuest, T. (2019). A smart manufacturing adoption framework for SMEs. International Journal of Production Research, 1-19.Khan, M. A., Mittal, S., West, S., & Wuest , T. (2018). Review on upgradability “A product lifetime extension strategy in the context of product service systems. Journal of cleaner production, 204, 1154-1168.Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of manufacturing systems, 49, 194-214.Mittal, S., Khan, M. A., Romero, D. & Wuest, T. (2019). Smart manufacturing: characteristics, technologies and enabling factors. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 233(5), 1342-1361.Purohit, J. K., Mittal, M. L., Mittal, S., & Sharma, M. K. (2016). Interpretive structural modeling-based framework for mass customisation enablers: An Indian footwear case. Production Planning & Control, 27(9), 774-786.

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