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Admission Brochure 2026–27

Dr. Manojkumar Pal is an Assistant Professor at Gati Shakti Vishwavidyalaya, Vadodara, with research experience in Operations Research, optimization, intelligent multi-agent systems, artificial intelligence, and manufacturing scheduling. His research focuses on developing decentralized and agent-based decision-making approaches for complex manufacturing, logistics, and digital commerce systems. His research aims to develop intelligent decision solutions for challenges in Industry 4.0, transportation and logistics, and digital commerce. Dr. Pal has published research in internationally reputed journals, including Computers & Operations Research and Expert Systems with Applications. He is also actively involved in developing advanced optimization and AI-based approaches for autonomous and sustainable industrial systems.

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Education

  • Ph.D. in Industrial Engineering, Malaviya National Institute of Technology (MNIT), Jaipur (2017–2023)
  • M.Tech. in Industrial Engineering, Malaviya National Institute of Technology (MNIT), Jaipur (2011–2013)
  • B.E. in Mechanical Engineering, Government Engineering College, Bharuch, Gujarat (2005–2009)
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Experience

  • Assistant Professor | Gati Shakti Vishwavidyalaya, Vadodara | July 2026–Present
  • Assistant Professor | Institute of Management, Nirma University, Ahmedabad | July 2023–June 2026
  • Assistant Professor | ITM Universe, Vadodara (currently ITM (SLS) Baroda University) | July 2013–July 2017
  • Production Engineer | Bil Metal Industries Ltd., Vadodara | June 2010–July 2011
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Professional Distinctions

  • Reviewer for reputed international journals, including Computers & Industrial Engineering, International Journal of Production Research, International Journal of Reliability, Quality & Safety Engineering, and International Journal of Mathematical, Engineering and Management Sciences
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Key Publications

  • Pal, Manojkumar et al. (2023). A multi-agent system for FJSP with setup and transportation times. Expert Systems with Applications, Volume 216, Article 119474.
  • Pal, Manojkumar et al. (2023). A multi-agent system for integrated scheduling and maintenance planning of the flexible job shop. Computers & Operations Research, Volume 159, Article 106365
  • Pal, M., Mittal, M. L., Soni, G., & Kumar, M. (2023). Solving FJSP Using the Multi-Agent System with GA. In Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Springer Nature Singapore.
  • Pal, M., Mittal, M. L., & Soni, G. (2022). Solving Complex FJSP Using a Multi-Agent System with Heuristic. IEOM 2022, NIT Warangal
  • Pal, M., Mittal, M. L., Soni, G., & Chouhan, S. S. (2023). Decentralized Scheduling for Flexible Job Shop with Sequence-Dependent Setup Time. IEOM 2023, Manila, Philippines
  • Pal, M. et al. (2023). Decentralized Decision-Based Approach for Distributed (Multi-location) FJSP Considering Worker Management. Presented at the 10th International Conference on Business Analytics and Intelligence (ICBAI), IISc Bangalore.
  • Pal, M. et al. (2024). A Multi-Agent Model with Hybrid Jaya Algorithm for Multi-Objective DFJSP with Energy Management. Presented at India Management Research Conference (IMRC) 2024, IIM Ahmedabad.
  • Pal, M. et al. (2024). Agents-Based Model for MODFJSP with Efficient Energy Consumption. Presented at the International Conference on Emerging Trends in Business Analytics & Management Sciences and the 57th Annual Convention of ORSI, IIT Bombay.
  • Pal, M. et al. (2025). A Sustainable Inventory Routing Problem for Logistics Operations in Manufacturing Supply Chain. Presented at the POMS India International Conference 2025, IIM Sambalpur.
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Research Area(s)

  • Energy-efficient scheduling for Distributed Flexible Job-Shop Scheduling Problems
  • Worker management in distributed manufacturing systems
  • Cooperative multi-agent systems for integrated scheduling considering transportation, setup, and maintenance
  • Dynamic game-theoretic agentic AI models for sustainable quick commerce
  • Hybrid Deep Reinforcement Learning and Multi-Agent Systems for flexible manufacturing systems
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Key Research Projects

  • Amazon Warehousing Project
    Role: Co-Principal Investigator (Co-PI)
    Institution: Gati Shakti Vishwavidyalaya, Vadodara
    Contributing to a research project focused on warehousing systems and related operational challenges.

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