Indrajit Mukherjee
Tata Motors Limited, Indian Institute of Technology Kharagpur, Indian Statistical Institute
0000-0002-8986-4299
About
I am currently working as a Professor in the Shailesh J. Mehta School of Management, IIT Bombay, which is a public institution, and established in 1995. Previously, I worked as Lecturer in the School of Management Science, Bengal Engineering and Science University (BESU), West Bengal (India), and in Mechanical Engineering Group, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan (India). I have authored and co-authored a number of research papers in refereed international journals and conferences. Some of my contributions can be seen in European Journal of Operations Research, Annals of Operations Research, Journal of Cleaner Production, Journal of Manufacturing Systems, Quality Engineering, Computers & Industrial Engineering, Applied Soft Computing, Journal of Material Processing Technology, Materials and Manufacturing Processes, Expert Systems with Applications, Journal of Advance Manufacturing Technology, Journal of Intelligent Systems Technologies and Applications, and Journal of Quality & Reliability Management. I received research grants from various India Government agencies, such as Department of Science and Technology, and CSIR, India. I was seconded by MHRD, Government of India as Visiting Faculty to Industrial & Systems Engineering (ISE), AIT, Bangkok. I was also DAAD Visiting Guest Professor in SOM, TUM, Germany. Within India I also taught as guest faculty at IIM Ranchi, Symbiosis, NITIE, IIT Kanpur, NMIMS. My specific areas of research interest are Quality Engineering & Management, Multivariate Process Control, Sourcing in Supply Chain, and Data Science for Decision Making.
Employment
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Tata Motors Limited Sr Engineer2001 - 2002
Education
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Indian Institute of Technology Kharagpur PhD2003 - 2006
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Indian Statistical Institute M.Tech1999 - 2001
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- A multi-objective variable selection framework for enhanced Mahalanobis–Taguchi system-based multivariate process control Save
- Managing demand uncertainty and supply disruption risks: a multi-stage stochastic optimization framework for efficient sourcing strategies Save
- A machine learning-based statistical process control for nonnormal multivariate data with nonlinear correlation structure Save
- An improved multivariate manufacturing process monitoring framework for individual and subgroup of observations using one-class classifier support vector machines Save
- An enhanced multiobjective inventory routing model to meet sustainable goals for assembly supply network under uncertainty Save
- A multi-objective solution framework for the assembly inventory routing problem considering supply risk and carbon offset policies Save
- An unsupervised one-class-classifier support vector machine to simultaneously monitor location and scale of multivariate quality characteristics Save
- A robust multiobjective solution approach for mean-variance optimisation of correlated multiple quality characteristics Save
- A synergistic Mahalanobis–Taguchi system and support vector regression based predictive multivariate manufacturing process quality control approach Save