Dr. Devesh Kumar

Dr. Devesh Kumar is an Assistant Professor in the Business Analytics area at the Jaipuria Institute of Management, Lucknow Campus. He holds a B.Tech. in Mechanical Engineering from IIITDM Jabalpur, an M. Tech. in Industrial Engineering from MNIT Jaipur, and a Ph.D. from MNIT Jaipur.

His research interests span machine learning, data science, decision-making, supply chain analytics, and optimization. He developed and solved mixed-integer and multi-objective optimization model using Python, GAMS/CPLEX, and LINGO, and employed data-driven approaches to support predictive and prescriptive analytics, including retrieval-augmented generation-based workflows.

Dr. Kumar has published research in high-impact, peer-reviewed journals including Computers & Industrial Engineering, International Journal of Production Economics, Operations Management Research, International Journal of System Assurance Engineering and Management, and International Journal of Quality & Reliability Management, along with conference papers and book chapters. He also serves as a reviewer for several reputed journals, including the Journal of Cleaner Production, Array, Research in Transportation Business & Management, Computers & Industrial Engineering, and Annals of Operations Research.

B.Tech., M. Tech., Ph.D.

Total:   1 Year
Academic Experience: 0.5 year

Journal Publications

Kumar, Devesh, and Gunjan Soni. "Industry 4.0 and Supply Chain Resilience: A Comprehensive Analysis of TechnologicalImpacts." IETI Transactions on Data Analysis and Forecasting3, no. 2 (2025): 33-49.

Kumar, Devesh, Gunjan Soni, Ajay Pal Singh Rathore, and Yigit Kazancoglu. "Modelling and analysis of resilience and reliabilityin pharmaceutical supply chains." Computers & Chemical Engineering(2025): 109194 (Impact Factor- 3.9, Q1)

Chandiramani, Hitesh, Gunjan Soni, and Devesh Kumar. "Emerging trends for multi-agent systems applications in smart public bus transportation." International Journal of Intelligent Enterprise12, no. 3-4 (2025): 422-440 (Q4)

Shukla, Om Ji, Devesh Kumar, Bharti Ramtiyal, and Abhijeet Joshi. "Interpretive structural modelling approach for barrier analysis in agenttechnology enabled smart manufacturing system." International Journal of Intelligent Enterprise12, no. 3-4 (2025): 340-355 (Q4)

Kumar, Devesh, Gunjan Soni, Sachin Kumar Mangla, Yigit Kazancoglu, and A. P. S. Rathore. "A machine learning-based hybridapproach for maximizing supply chain reliability in a pharmaceutical supply chain." Computers & Industrial Engineering200 (2025): 110834 (ABDC- A, Impact Factor- 6.5, Q1)

Kumar, Devesh, Gunjan Soni, Sachin Kumar Mangla, Jiajia Liao, A. P. S. Rathore, and Yigit Kazancoglu. "Integrating resilience andreliability in semiconductor supply chains during disruptions." International Journal of Production Economics276 (2024): 109376 (ABDC- A, Impact Factor- 10, Q1)

Kumar, Devesh, Gunjan Soni, Bharti Ramtiyal, and Lokesh Vijayvargy. "Data-driven approach for rational allocation of inventory ina FMCG supply chain." International Journal of System Assurance Engineering and Management(2024): 1-14 (Impact Factor- 1.6, Q2)

Kumar, Devesh, Gunjan Soni, Fauzia Jabeen, Neeraj Kumar Tiwari, Gorkem Sariyer, and Bharti Ramtiyal. "A hybrid Bayesian approachfor assessment of industry 4.0 technologies towards achieving decarbonization in manufacturing industry." Computers & Industrial Engineering190 (2024): 110057 (ABDC- A, Impact Factor- 6.5, Q1)

Taparia, Vinit, Piyush Mishra, Nitik Gupta, and Devesh Kumar. "Improved demand forecasting of a retail store using a hybrid machine learning model." Journal of Graphic Era University(2024): 15-36.

Kumar, Rohit, Devesh Kumar, Bharti Ramtiyal, Lokesh Vijayvargy, and Surendra Bisht. "Assessing feasibility of design constraints for mills inplanning and scheduling of cold rolling: A case of steel industry." International Journal of System Assurance Engineering and Management15, no. 4 (2024): 1519-1535 (Impact Factor- 1.6, Q2)

Kumar, Devesh, Gunjan Soni, Yigit Kazancoglu, and Ajay Pal Singh Rathore. "On the nature of supply chain reliability: models,solution approaches and agenda for future research." International Journal of Quality & Reliability Management41, no. 9 (2024): 2400-2420 (ABDC- B, Impact Factor- 3.2, Q2)

Gupta, Nainsi, Gunjan Soni, Sameer Mittal, Indrajit Mukherjee, Bharti Ramtiyal, and Devesh Kumar. "Evaluating traceability technology adoption in food supply chain: A game theoretic approach." Sustainability15, no. 2 (2023): 898 (Impact Factor- 3.3, Q1)

Kumar, Devesh, Gunjan Soni, Rohit Joshi, Vipul Jain, and Amrik Sohal. "Modelling supply chain viability during COVID-19disruption: A case of an Indian automobile manufacturing supply chain." Operations Management Research15, no. 3 (2022): 1224-1240 (ABDC- C, Impact Factor- 6.1, Q1)

Conference Publications

Kumar, Devesh, Amit Kumar Patil, Gunjan Soni, and Gaurav Kumar Badhotiya. "A systematic review of supply chain reconfigurationresearch." ADVANCES IN MANUFACTURING TECHNOLOGIES AND APPLICATION OF ARTIFICIAL INTELLIGENCE: AMTAAI 20212521, no. 1 (2023): 040028.

Detwal, Pankaj Kumar, Gunjan Soni, Devesh Kumar, and Bharti Ramtiyal. "Data–Driven Techniques in Logistics & Supply Chain Management: A Literature Review." In2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON), pp. 1-6.IEEE, 2023.

Karwasra, Kritika, Devesh Kumar, Gunjan Soni, and Surya Prakash. "Webometric study of lean manufacturing." In Advances in Production and Industrial Engineering: Select Proceedings of ICETMIE 2019, pp. 309-322. Singapore: Springer Singapore, 2020.

Kumar, Devesh, Kritika Karwasra, and Gunjan Soni. "Bibliometric analysis of artificial neural network applications in materialsand engineering." Materials Today: Proceedings 28 (2020): 1629-1634.

Book/Book Chapter Publications

Kumar, Devesh, Surya Prakash, and Bharti Ramtiyal. "Toward a holistic perspective on risk, resilience, and reliability inoperations management." In Risk, Reliability and Resilience in Operations Management, pp. 1-12. Elsevier, 2025.

Dwivedi, Rishabh, Ashutosh Mishra, Devesh Kumar, and Amitkumar Patil. "The energy consumption optimization using machine learning technique in electrical arcfurnaces (EAF)." In Intelligent Prognostics for Engineering Systems with Machine Learning Techniques, pp. 113-132. CRC Press, 2023.

Awards and Distinctions

PhD Fellowship, MHRD (2021-2026)

M.Tech. Fellowship, MHRD (2018-2020)