Faculty at School of Engineering

Divya Shrivastava

Divya Shrivastava

Professor and Head

School of Engineering


Contact Information

Research Areas
  • Production Scheduling
  • Reliability Engineering
  • Statistical Quality Control
  • Smart Manufacturing
  • Collaborative Human-Robot Interaction
  • Intelligent Systems for Assembly Line Balancing
  • Welding Analytics
Ph.D. Scholars Detail
Sl. No. Ph.D. Scholar Topic Mode Status
1 Aseem Mishra Integration of Production Scheduling, Inventory Control and Maintenance Planning in Multi-Machine Manufacturing Systems Regular Awarded
2 Venkata Krishna Rao Pabolu Development of Intelligent System for Assembly Line Workers Work Assignment Regular Awarded
3 Vinayak Gaurav Development of an Intelligent Welding System for Weldability Assessment and Optimization of Resistance Spot Welding of High-Strength Steel Regular Submitted
4 Yogesh Kumar Sharma Integration of Industry 5.0 (I5.0) into Lean and Sustainable Supply Chain Management (LSSCM) Regular Ongoing
5 Ashutosh Shrama Edge-Deployed Embodied AI for Zero-Touch Autonomous Arc Welding Part-time Ongoing

  • Ph.D. (Industrial Engineering), Department of Mechanical Engineering, Indian Institute of Technology Delhi (2012)
  • M.E. (Industrial Engineering & Management), Government Engineering College, Ujjain, M.P. (2005)
  • B.E. (Mechanical Engineering), RGPV, Bhopal, M.P. (2003)

  • Professor, Department of Mechanical Engineering, Shiv Nadar Institution of Eminence (SNIoE), India (1st Jan 2025 – Present)
  • Head, Department of Mechanical Engineering, Shiv Nadar Institution of Eminence (SNIoE), India (1st July 2024 – Present)
  • Associate Professor, Department of Mechanical Engineering, Shiv Nadar Institution of Eminence (SNIoE), India (1st July 2020 – Dec 2024)
  • Assistant Professor, Department of Mechanical Engineering, Shiv Nadar Institution of Eminence (SNIoE), India (4 March 2013 – 30 June 2020)
  • Assistant Professor, Department of Mechanical Engineering, National Institute of Technology, Hamirpur (H.P.) (2012)
  • Lecturer, Hitkarini College of Engineering and Technology, Jabalpur (2006)

  • Participated in ACODS 2024 and served as Session Chair.
  • Received the Best Paper Award for the paper titled “Controlling and Optimization of On-time Delivery for Assemble-to-order Production System” at ACODS 2024.
  • Completed the Global Online Certification Course on “Business Analytics: From Data to Insights and Decision Making” (2023), conducted by the National Institute of Industrial Engineering (NITIE), Mumbai.
  • Received the Best Paper Award for the paper titled “Intelligent Systems in Production Planning for an Assemble-to-order Production System” at CSCT 2022.
  • Received a Travel Grant from the Department of Science and Technology (DST), Government of India, to attend the C&IE Conference held at the University of Auckland, New Zealand, in December 2018.
  • Received the Outstanding Reviewer certificate from Computers & Industrial Engineering (Elsevier) in February 2018.
  • Ph.D. Scholarship, Ministry of Human Resource Development, Indian Institute of Technology Delhi, India (January 2007 – December 2011).
  • Selected for INTERRA-2010, held in Novosibirsk, Russia, from September 22–25, 2010; the travel grant was funded by the DST, Government of India. There were 11 participants from India.
  • Received a Travel Grant from IIT Delhi and the DST, Government of India, to attend the POMS Conference held in Vancouver, Canada.
  • Selected for the Doctoral Consortium, conducted by Prof. Kenneth J. Klassen, University of Brock, at the 21st POMS Conference, Vancouver, Canada, May 6–10, 2010, organized by the Production and Operations Management Society. The consortium included 30 doctoral students from around the globe.
  • Selected for poster presentation on National Science Day 2010, organized by IIT Delhi.

  • IEEE Professional Membership
  • IEEE Women in Engineering Membership
  • Institute of Industrial and Systems Engineers (IISE) Professional Membership

  1. Mishra, A., Shrivastava, D., & Mishra, A. K. (2026). Advanced metaheuristics for scheduling in flexible manufacturing systems to minimize the machine idle time and tardiness penalties. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. (IF: 2.2, Q2)
  2. Gurav, V., & Shrivastava, D. (2026). Optimization of mechanical properties and microstructure characterization of resistance spot welded martensitic stainless steel: In-situ tempering and TLBO approach. Scientific Reports, 16(1), 12989. (IF: 4.9, Q1)
  3. Pabolu, V. K. R., Shrivastava, D., & Kulkarni, M. S. (2025). Development of intelligent system to consider worker's comfortable work duration in assembly line work scheduling. Journal of Manufacturing Systems, 78, 226–243. (IF: 12.3, Q1)
  4. Pabolu, V. K. R., Shrivastava, D., & Kulkarni, M. S. (2024). Intelligent system for assembly-line worker’s fatigue recognition and facilitation. Computers & Industrial Engineering, 198. (IF: 6.7, Q1)
  5. Gurav, V., & Shrivastava, D. (2024). Metaheuristic optimization and computational investigation of resistance spot welding process parameter employing Jaya, TLBO, and Rao-II algorithm. International Journal on Interactive Design and Manufacturing (IJIDeM), 1–16. (IF: 2.1, Q2)
  6. Mishra, A., & Shrivastava, D. (2024). Parameter less hybrid IG-Jaya approach for permutation flow shop scheduling problem. Journal of Industrial and Management Optimization, 20(2), 606–629. (IF: 1.2, Q3)
  7. Dhiman, S., Pabolu, V. K. R., & Shrivastava, D. (2024). Application of Artificial Intelligence to Measure the Productivity of an Assembly-Line Worker. Tuijin Jishu/Journal of Propulsion Technology, 45(3), 1770–1777. (Scopus)
  8. Pabolu, V. K. R., Shrivastava, D., & Kulkarni, M. S. (2024). Controlling and Optimization of On-time Delivery for Assemble-to-order Production System. IFAC-PapersOnLine, 57, 161–166. (Scopus)
  9. Pabolu, V. K. R., & Shrivastava, D. (2021). A dynamic job rotation scheduling conceptual framework by a human representing digital twin. Procedia CIRP, 104, 1367–1372. (Scopus)
  10. Mishra, A. K., Shrivastava, D., & Rastogi, R. (2022). An Efficient Jaya Algorithm for Joint Optimization of Preventive Maintenance and Quality Policy in Production Systems. Procedia CIRP, 107, 1299–1304. (Scopus)
  11. Pabolu, V. K. R., Shrivastava, D., & Kulkarni, M. S. (2022). A Dynamic System to Predict an Assembly Line Worker’s Comfortable Work-Duration Time by Using the Machine Learning Technique. Procedia CIRP, 106, 270–275. (Scopus)
  12. Mishra, A. K., Shrivastava, D., Tarasia, D., & Rahim, A. (2021). Joint optimization of production scheduling and group preventive maintenance planning in multi-machine systems. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04362-z (IF: 4.4, Q1)
  13. Aseem K. Mishra & Divya Shrivastava. (2020). Integration of Production Scheduling and Group Maintenance Planning in Multi-unit System Employing TLBO Algorithm. Procedia CIRP, 93C, 940–945. (Scopus)
  14. Mishra, A. K., & Shrivastava, D. (2020). A discrete Jaya algorithm of permutation flow-shop scheduling problem. International Journal of Industrial Engineering Computations, 11(3), 415–428. https://doi.org/10.5267/j.ijiec.2019.12.001 (IF: 1.6, Q2)
  15. Mishra, A. K., Shrivastava, D., & Vrat, P. (2019). An opportunistic group maintenance model for the multi-unit series system employing Jaya algorithm. OPSEARCH. https://doi.org/10.1007/s12597-019-00422-y (IF: 1.6, Q2)
  16. Mishra, A. K., & Shrivastava, D. (2018). A TLBO and a Jaya heuristics for permutation flow shop scheduling to minimize the sum of inventory holding and batch delay costs. Computers & Industrial Engineering, 124, 509–522. https://doi.org/10.1016/J.CIE.2018.07.049 (IF: 6.7, Q1)
  17. Divya Shrivastava, M. S. Kulkarni, & Prem Vrat. (2015). Integrated Design of Preventive Maintenance and Quality Control Policy Parameters with CUSUM Chart. International Journal of Advanced Manufacturing Technology, 82(9), 2101–2112. https://doi.org/10.1007/s00170-015-7502-7 (Cited by 23; IF: 2.9, Q2)
  18. Pandey, Divya, Kulkarni, M. S., & Vrat, Prem. (2010). Joint Consideration of Production Scheduling, Maintenance and Quality Policies: A Review and Conceptual Framework. International Journal of Advance Operations Management, 1/2, 1–24. (Cited by 65; Scopus)
  19. Pandey, Divya, Kulkarni, M. S., & Vrat, Prem. (2010). A Model for Optimal Maintenance Interval Incorporating the Cost of Rejection in Manufacturing. Journal of Advances in Management Research, 7(2), 219–232. (IF: 2.6, Q2)
  20. Pandey, Divya, Kulkarni, M. S., & Vrat, Prem. (2011). A Model for Joint Optimization for Maintenance Planning, Process Quality and Production Scheduling. International Journal of Computers & Industrial Engineering, 61, 1098–1106. (IF: 6.7, Q1)
  21. Pandey, Divya, Kulkarni, M. S., & Vrat, Prem. (2011). A Methodology for Simultaneous Optimization of Design Parameters for the Preventive Maintenance and Quality Policy Incorporating Taguchi Loss Function. International Journal of Production Research, 50(7), 2030–2045. (IF: 4.577, Q1)

Books

  • B. K. Lad, Divya Shrivastava, M. S. Kulkarni, Machine Tool Reliability, Performability Engineering Series, Scrivener Publisher, Wiley, 2016.

Book Chapters

  1. An Efficient Jaya Algorithm for Multi-Objective Permutation Flow-Shop Scheduling Problem. Advanced Engineering Optimization Through Intelligent Techniques, Advances in Intelligent Systems and Computing, pp. 113–125. Springer, Singapore, 2020. DOI
  2. Mishra, A. K., Shrivastava, D., & Gupta, H. (2021). Group Preventive Maintenance Model for Multi-unit Series System: A TLBO Algorithm-Based Approach. In M. Muzammil, A. Chandra, P. K. Kankar, & H. Kumar (Eds.), Recent Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. DOI
  3. Pabolu, V. K. R., Shrivastava, D., & Kulkarni, M. S. (2023). Intelligent Systems in Production Planning for an Assemble-to-Order Production System. In J. C. Bansal, H. Sharma, & A. Chakravorty (Eds.), Congress on Smart Computing Technologies (CSCT 2022). Smart Innovation, Systems and Technologies, Vol. 351. Springer, Singapore. DOI

  1. Dhiman, S., Pabolu, V. K. R., & Shrivastava, D. Application of Artificial Intelligence to Measure the Productivity of an Assembly-Line Worker. Presented at the International Conference on Engineering & Technology (ICET-24), organized by the National Institute of Engineering and Research. The work was also published in the Journal of Propulsion Technology. DOI
  2. Pabolu, V. K. R., Shrivastava, D., & Dhiman, S. Artificial Intelligence to Measure Idle Time of an Assembly Line Worker. The Unified International Conference on Emerging Technologies in Cyber-Physical Systems and Industrial AI (2024), organized by MNIT Jaipur, India, in collaboration with Western Norway University of Applied Science, Norway, November 26–28, 2024.
  3. Pabolu, V. K. R., Shrivastava, D., & Dhiman, S. Artificial Intelligence to Recognize Active Work Engagement of an Assembly-Line Worker. The 51st International Conference on Computers and Industrial Engineering (CIE51, 2024), December 9–11, 2024, University of New South Wales, Sydney, Australia.
  4. Pabolu, V., Shrivastava, D., & Kulkarni, M. Industrial Internet of Things for Assembly Line Worker’s Work Fatigue Recognition. In Proceedings of the 9th International Conference on Internet of Things, Big Data and Security (IoTBDS 2024), pp. 302–309. DOI
  5. Y. K. Sharma, D. Shrivastava, & A. K. Mishra. Industry 4.0 & Circular Economy for Agriculture Waste (AWs): Framework towards Rice Residue Disposal in Small and Medium-Sized Enterprises (SMEs). PRISM 2023, India.
  6. V. Gurav & D. Shrivastava. Machine Learning-Based Weldability Assessment and Optimization of Resistance Spot Welding Joints: A Data-Driven Framework. 3rd IEOM India Conference 2023, New Delhi.
  7. Mishra, A. K., Shrivastava, D., & Rastogi, R. An Efficient Jaya Algorithm for Joint Optimization of Preventive Maintenance and Quality Policy in Production Systems. 55th CIRP CMS 2022, June 29–July 1, 2022, Lugano, Switzerland.
  8. Pabolu, V. K. R., Shrivastava, D., & Kulkarni, M. S. A Digital-Twin Based Worker’s Work Allocation Framework for a Collaborative Assembly System. 10th IFAC Triennial Conference on Manufacturing Modelling, Management and Control (IFAC MIM 2022), June 22–24, 2022, Nantes, France.
  9. Pabolu, V. K. R., Shrivastava, D., & Kulkarni, M. S. A Dynamic System to Predict an Assembly Line Worker’s Comfortable Work-Duration Time by Using the Machine Learning Technique. 9th CIRP Conference on Assembly Technology and Systems, April 6–8, 2022, Leuven.
  10. Pabolu, V. K. R. & Shrivastava, D. A Dynamic Job Rotation Scheduling Conceptual Framework by a Human Representing Digital Twin. 54th CIRP Conference on Manufacturing Systems – Towards Digitalized Manufacturing 4.0, September 22–24, 2021, Greece.
  11. Aseem K. Mishra & Divya Shrivastava. Group Preventive Maintenance Model for Multi-Component System: A TLBO Algorithm-Based Approach. International Conference on Innovative Technologies in Mechanical Engineering, KIET Group of Institutions, Ghaziabad, India, October 18–19, 2019.
  12. Aseem K. Mishra & Divya Shrivastava. Integration of Production Scheduling and Group Maintenance Planning in Multi-Unit System Employing TLBO Algorithm. 53rd CIRP Conference on Manufacturing Systems, July 1–3, 2020, NIMSI, Chicago, USA.
  13. Aseem Mishra & Divya Shrivastava. Integrating Production Scheduling and Inventory Decisions in Flowshop Scheduling Problem. 1st International and 18th ISME Conference on Enabling Sustainable Development in Mechanical Engineering, NIT Warangal, February 2017.
  14. Aseem Mishra & Divya Shrivastava. Opportunistic Group Maintenance Policy for Multi-Machine System with Multi-Components. Proceedings of the International Conference on Computers & Industrial Engineering (CIE48), December 2–5, 2018. ISSN: 2164-8689.
  15. Mishra, Aseem, Divya Shrivastava, Bundela Bhaskar, & Sircar Surabhi. An Efficient Jaya Algorithm for Multi-Objective Permutation Flow-Shop Scheduling Problem. International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT), August 3–5, 2018, NIT Surat, India. Proceedings to be published by Springer.
  16. Pandey, Divya, Kulkarni, M. S., & Vrat, Prem. An Integrated Model for Maintenance Planning, Process Quality Control and Production Scheduling. 21st Annual POMS Conference, May 7–10, 2010, Vancouver, Canada.
  17. Pandey, Divya, Kulkarni, M. S., & Vrat, Prem. A Methodology for Simultaneous Optimization of Design Parameters for Preventive Maintenance and Process Quality Control Chart Policy. XIII Annual Conference of the Society of Operations Management, December 20–22, 2009, Chennai, India.
  18. Pandey, Divya, Kulkarni, M. S., & Vrat, Prem. A Model for Optimal Maintenance Planning Incorporating the Cost of Quality in Manufacturing. International Conference on Operations Research for a Growing Nation, December 15–17, 2008, Tirupati, India.
  19. Pandey, Divya, Kulkarni, M. S., & Vrat, Prem. Integrated Production Scheduling, Quality, Maintenance Models: An Overview. International Conference on Recent Trends in Mechanical Engineering (ICRTME-2007), October 4–6, 2007, Ujjain.
  20. Pandey, Divya, Shukla, A. C., & Lad, B. K. Customer Relationship Management (CRM): A Case Study of ‘ABC’ Automobile Company. 8th International Conference on Quality Innovation and Knowledge Management, February 12–14, 2007, New Delhi.
  21. Lad, B. K., Pandey, Divya, & Shukla, A. C. A Comparative Study of Neural Network and Box-Jenkins ARIMA Modeling in Tourist Arrivals Forecasting. 11th International Conference on Productivity and Quality Research, December 12–15, 2005, IIT Delhi.

  1. A Digital Twin Development for Collaborative Human-Robot Work Allocation in Assembly Line Systems, Dassault Systemes Foundation (PI) (Ongoing)
  2. A Web-based game to mitigate the bullwhip effect and understand the concept of Supply Chain Management" CHANAKYA fellowship program of IITI DRISHTI CPS Foundation (PI) (Ongoing)

  • Expert Member to the Board of Studies (BoS) – Mechanical Engineering, Sharda University.
  • Member of CII National Committee on Industry–Academia Partnership.

# Project Title PI Status
1 A Digital Twin Development for Collaborative Human-Robot Work Allocation in Assembly Line System Dr. Divya Shrivastava Completed
2 A Web-based Game to Mitigate the Bullwhip Effect and Understand the Concept of Supply Chain Management Dr. Divya Shrivastava Completed
3 FIST Prof. Grewal
(Team members: Dr. Divya, Prof. Arora, Dr. Visakh and Dr. Santanu)		 Ongoing

  • International Journal of Computers & Industrial Engineering
  • International Journal of Production Research
  • International Journal for Computers and Electrical Engineering
  • International Journal of Production Economics
  • International Journal of Performability Engineering
  • International Journal of Systems Science
  • Quality Technology & Quantitative Management
  • IET Collaborative Intelligent Manufacturing
  • COPEN 2019 Conference