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Pratik Maheshwari

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Assistant Professor, Operations & Supply Chain
E-mail: pratik[at]iimj[dot]ac[dot]in

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Dr. Pratik Maheshwari is currently working as an Assistant Professor in the Operations and Supply Chain area at Indian Institute of Management, Jammu. He received his doctorate from Indian Institute of Management Mumbai (NITIE Mumbai). His research interest is inclined towards understanding the impact of emerging technologies such as Digital Twin, IoT, Industry 4.0 and Data Analytics on sustainable supply chain performance. He is aquatinted with optimization techniques to solve linear programming and Mixed-integer linear programming problems using python with Gurobi Optimizer. He is also interested in simulation modelling, including tools Anylogic and Anylogistix. His work has been published in high-impact journals such as the International Journal of Production Research, Computers & Industrial Engineering, and Annals of Operations Research. He also presented papers in several renowned Scopus indexed conferences such as IEOM, IFAC, and IEEE. He is a reviewer of several reputed journals, such as Computers & Industrial Engineering, Production & Manufacturing Research, Technology Forecasting and Social Change and Total Quality Management & Business Excellence.
  • PhD in Operations and Supply Chain Management (IIM Mumbai)
  • M.Tech in Industrial Engineering and Management (RGPV Bhopal)
  • B. Tech in Mechanical Engineering (RGPV Bhopal)
  • IISE, Institutional Member.
  • IEOM, Society Member
  • IEEE, Society Member
  • INFORMS, Member
  • IAENG, Member
  • Maheshwari, P., Kamble, S., Kumar, S. & Belhadi, A. (2023). Digital twin-based warehouse management system: A theoretical toolbox for future research and applications. International Journal of Logistics Management, (ABDC,SCI/SSCI/ESCI,Scopus), DOI : DOI: 10.1108/IJLM-01-2023-0030
  • Maheshwari, P. & Kamble, S. (2023). Resilient healthcare network for simultaneous product allocations during the supply chain disruptions. Supply Chain Forum: an International Journal, 24(2), 1-21. (ABDC,SCI/SSCI/ESCI,Scopus), DOI : https://doi.org/10.1080/16258312.2023.2238669
  • Maheshwari, P. & Kamble, S. (2023). Digital twin-driven real-time planning, monitoring, and controlling in food supply chains. Technological Forecasting & Social Change, 195, (ABS,ABDC,SCI/SSCI/ESCI,Scopus), DOI : https://doi.org/10.1016/j.techfore.2023.122799
  • Maheshwari, P. & Devi, Y. (2023). Investigating the Relationship between Lean Six Sigma Performance strategy with Digital Twin Modelling: Practices and Factors. Journal of Cleaner Production, (ABS,ABDC,SCI/SSCI/ESCI,Scopus), DOI : https://doi.org/10.1016/j.jclepro.2023.140449
  • Maheshwari, P., Kamble, S., Belhadi, A., Venkatesh, M. & Pundir, A., (2022). Digital twin implementation for performance improvement in process industries-A case study of food processing company. International Journal of Production Research, 61(23), 8343-8365. (ABS,ABDC,SCI/SSCI/ESCI,Scopus), DOI : https://doi.org/10.1080/00207543.2022.2104181
  • Sheshadri, C., Chaudhuri, R., Shah, M. & Maheshwari, P. (2022). Big data driven innovation for sustaining SME supply chain operation in post COVID-19 scenario: Moderating role of SME technology leadership. Computers & Industrial Engineering, 168, (ABDC,SCI/SSCI/ESCI,Scopus), DOI : https://doi.org/10.1016/j.cie.2022.108058
  • Maheshwari, P., Kamble, S., Pundir, A., Belhadi, A. & Tiwari, S., (2021). Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises. Annals of Operations Research, 1-29. (ABS,ABDC,SCI/SSCI/ESCI,Scopus), DOI : https://doi.org/10.1007/s10479-021-04277-9
  • Maheshwari, P. (2024). Analysing the Impact of Transportation Policies on Supply Chain Efficiency and Sustainability. ANYLOGISTIX CONFERENCE 2024 The AnyLogic Company Online: AnyLogic
  • Kamble, S. & Maheshwari, P. (2023). Digital twin for manufacturing excellence in food processing industries. 33rd Annual POMS-Conference Fostering a Better and Smarter World with POM Hyatt Regency, 9801 International Drive POMS, (pp.115-122). Orlando, USA: Production and Operations Management Society
  • Pundir, A., Maheshwari, P. & Kumar, P. (2022). Machine Learning Based Predictive Maintenance Model. 2nd Indian International Conference on Industrial Engineering and Operations Management National Institute of Technology (NIT) Warangal: ISSN: 2169-8767 (U.S. Library of Congress),Scopus
  • Maheshwari, P. & Kamble, S. (2022). The Application of Supply Chain Digital Twin to Measure Optimal Inventory Policy. Elsevier: International Conference on Manufacturing Modelling, Management and Control - 10th MIM 2022 IFAC, (pp.2324-2329). France: IFAC-PapersOnLine, Scopus
  • Maheshwari, P., Kamble, S. & Pundir, A. (2020). Inventory Management of Non- Instantaneous Deteriorating Items Using Particle Swarm Optimization Technique. Scopus: 5th NA International Conference on Industrial Engineering and Operations Management August 10 - 14, 2020, (pp.2238-2247). Detroit, Michigan, USA: ISSN: 2169-8767
  • Pundir, A., Ganapathy, L. & Maheshwari, P. (2020). Machine learning for revenue forecasting: A case study in retail business. 11th IEEE Annual Information Technology, Electronics and Mobile Communication (pp.0201-0207).
  • Pundir, A., Ganapathy, L., Maheshwari, P. & Thakur, S. (2020). Interpretive Structural Modelling to assess the enablers of blockchain technology in supply chain. Scopus: 11th Annual Information Technology, Electronics and Mobile Communication Conference IEEE, (pp.0223-0229). Canada: IEEE Explore
  • Maheshwari, P. & Kamble, S. (2023). Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance, A comparative approach for sustainable supply chain finance to implement Industry 4.0 in micro, small, and medium-sized enterprises (pp. 207-230 ). Springer, https://link.springer.com/chapter/10.1007/978-3-031-19711-6_10
  • Operation Research
  • Operation Management
  • Mathematical Modeling and Simulation
  • Supply Chain Analytics

  • Global Online Certification Course on Business and Operations Analytics by Prof. David Simchi- Levi (MIT, USA) & Prof. Manoj K. Tiwari (Director, NITIE) 2021.
  • Global Online Certification Course on Deep Learning in Logistics by Prof. Rahul Rai (Clemson University, South Carolina).
  • Supply Chain Digitization and Management Course (Jan’ 21-Mar’21) by Prof. David Simchi-Levi (MIT, USA) & Prof. Manoj K. Tiwari (Director, NITIE). 2021.
  • Global Online Certification Course on- Supply Chain Operations and Disruptions Management: A Way Forward by prof. Prof. Tadeusz Sawik, Professor, Industrial Engineering & Operations Research, AGH University, Krakow Poland & Reykjavik University, Reykjavik Iceland
  • Quant algorithms by Prof. Andrew Magdy Kamal, Udemy. 2020.
  • Optimization problems and algorithms online course by Prof. Seyedali mirjalili, Torrens University Australia.2019.
  • Global Online Certification Course on 'Modelling and Building Digital Supply Chain Twins using AnyLogistix by Prof. Dmitry Ivanov.

  • Supply Chain Pro certification by Confederation of Indian Industry.
  • Fellow of NITIE Mumbai

  • Energy Swarj Foundation, IITB
  • NITIE Mumbai