Faculty Data | Official Website of IIM Jammu| Indian Institute of Management Jammu Faculty Data | Official Website of IIM Jammu| Indian Institute of Management Jammu Faculty Data | Official Website of IIM Jammu| Indian Institute of Management Jammu

P. Praveen Vijaya Raj

Qualification
Assistant Professor, Operations & Supply Chain

Dr. P. Praveen Vijaya Raj is an Assistant Professor in the department of Operations & Supply chain in Indian Institute of Management Jammu. Prior to IIM Jammu he works as a Postdoctoral Fellow as teaching and research faculty at the Indian Institute of Management, Raipur. He completed his Ph.D. in Industrial Management at the National University of Science and Technology in Taiwan. He received a full scholarship from the National Taiwan University of Science and Technology throughout his doctoral studies. He worked as a planning executive at Jay Jay Mills Lanka Pvt. Ltd, Sri Lanka. He had an experience in dealing with US and UK buyers. During his master’s degree in Industrial Engineering at the PSG College of Technology, he obtained the best outgoing student.

  • Ph.D., National Taiwan University of Science and Technology
  • M.E., PSG College of Technology
  • B.E. Anna university
  • Assistant Professor, Indian Institute of Management Jammu
  • Post-doctoral fellow (Teaching and Research faculty), Indian Institute of Management Raipur
  • Assistant Professor, Karunya Institute of Technology and Sciences
  • Planning Executive, Jay Jay Mills Lanka Private Limited
  • Lecturer, Thiruvalluvar College of Engineering and Technology
  • Pushpa Raj, P., Nagarajan, B., Tobias Schoenherr, M. & Ramkumar, M. (2023). A comparative investigation of a seller’s disaster payment period policy. Transportation Research Part E: Logistics and Transportation Review, 171, (ABDC,SCI/SSCI/ESCI), DOI : https://doi.org/10.1016/j.tre.2022.103009
  • Pushpa Raj, P., Jauhar, S., Ramkumar, M. & Pratap, S. (2022). Procurement, traceability and advance cash credit payment transactions in supply chain using blockchain smart contracts. Computers and Industrial Engineering, 167, (ABDC,SCI/SSCI/ESCI)
  • Jauhar, S., Pushpa Raj, P., Kamble, S., Pratap, S. & Gupta, S., (2022). A deep learning-based approach for performance assessment and prediction: A case study of pulp and paper industries. Annals of Operations Research, 1-27. (ABDC,SCI/SSCI/ESCI), DOI : https://doi.org/10.1007/s10479-022-04528-3
  • Sivakumar, A., Singh, N., Arulkirubakaran, D. & Pushpa Raj, P. (2022). Prediction of production facility priorities using Back Propagation Neural Network for bus body building industries: a post pandemic research article. Quality & Quantity, 1-25. (ABDC), DOI : https://doi.org/10.1007/s11135-022-01365-1
  • SIVAKUMAR, A., BAGATH SINGH, N., ARULKIRUBAKARAN, D. & PRAVEEN VIJAYA RAJ, P. (2022). Prediction of equipment effectiveness using hybrid moving average-adaptive neuro fuzzy inference system (MA-ANFIS) for decision support in bus body building industry. Anais da Academia Brasileira de Ciências, 94, (SCI/SSCI/ESCI), DOI : https://doi.org/10.1590/0001-3765202220210552
  • Tsao, Y. & Pushpa Raj, P. (2020). Product substitution with customer segmentation under panic buying behavior. Scientia Iranica, 27(2), 2514-2528. (SCI/SSCI/ESCI)
  • Tsao, Y., Pushpa Raj, P. & Yu, V. (2019). Product substitution in different weights and brands considering customer segmentation and panic buying behavior. Industrial Marketing Management, 77, 209-220. (ABDC,SCI/SSCI/ESCI)

Operations Management

Lean Management

Service Operations management

Supply Chain Management

Digital Supply Chain


  • Courses taught in IIM Raipur: Operations Management, Lean Management

  • NTUST scholarship for the PhD program and MHRD scholarship for M.E Program
  • Best outgoing student award in the Industrial Engineering department in PSG College of Technology (2012-2014 batch).
  • Reviewer in several SCI Journals.