Manoj Kumar Tiwari


Industrial and Systems Engineering


Research Areas

  • Manufacturing Operations Planning
  • Intelligent Decision Modeling
  • Operations Analysis and Management
  • Product and Process Improvements
Prof. Manoj Kumar Tiwari (FNAE, FNASc, FIIIE, FIISE) has been Director, National Institute of Industrial Engineering (NITIE) Mumbai since November 2019. He was a Professor with Higher Academic Grade (HAG) in the Department of Industrial and Systems Engineering at the Indian Institute of Technology, Kharagpur. He is actively involved in research relevant to the application of optimization, modeling, decision support systems, and data mining in logistics, supply chain management, and manufacturing research domains. He is associate/senior editor of several renowned journals like IJPR, POMS, JIM, IEEE-SMCA, INS, and CAIE. Prof Tiwari has led numerous projects and consultancy assignments with prominent industry and government organizations in India, including Indian Air Force, Procter and Gamble, TATA Hitachi, and ports located in eastern India. In addition, he aggressively engaged in collaborative research with partners from Loughborough University UK, Institute for Manufacturing (IfM) at the University of Cambridge UK, Warwick Manufacturing Group UK, Durham University UK, and the University of Connecticut USA. Prof. Tiwari is an author of more than 338 articles in leading international journals with H index-71. He is a fellow of The National Academy of Sciences India (NASI), and Indian National Academy of Engineering (INAE), and the Institute of Industrial and Systems Engineers (IISE), USA.
  • Composite particle algorithm for sustainable integrated dynamic ship routing and scheduling optimization Arijit De, Vamsee Krishna Reddy Mamanduru, Angappa Gunasekaran , Nachiappan Subramanian, MK Tiwari By Computers & Industrial Engineering 96 201-2015 (2016)
  • Performance measures based optimization of supply chain network resilience: A NSGA-II+ Co-Kriging approach V Dixit, N Seshadrinath, MK Tiwari By Computers & Industrial Engineering 93 205-214 (2016)
  • Integrated Scheduling of Rake and Stockyard Management with Ship Berthing: A Block Based Evolutionary Algorithm Saurabh Pratap, M Kumar B, D Saxena, M K Tiwari By International Journal of Production Research 54(14) 4182-4204 (2015)
  • A carbon market sensitive optimization model for integrated forward-reverse logistics A Choudhary, S Sarkar, S Settur, MK Tiwari By International Journal of Production Economics 164 433-444 (2015)
  • Mining consumer reviews to generate ratings of different product attributes while producing feature-based review-summary Akshay Kangale, S Krishna Kumar, Mohd Arshad Naeem, Mark Williams, MK Tiwari By International Journal of Systems Science 47(13) 3272-3286 (2015)
  • Interactive particle swarm: a Pareto-adaptive metaheuristic to multiobjective optimization Shubham Agrawal, Yogesh Dashora, Manoj Kumar Tiwari, Young-Jun Son By IEEE Transactions on Systems, Man, And Cybernetics-Part A: Systems and Humans 38 (2) 258-277 (2008)
  • Global supplier selection: a fuzzy-AHP approach Felix TS Chan, N Kumar, M K Tiwari, HCW Lau, KL Choy By International Journal of Production Research 46 (14) 3825-3857 (2008)
  • Multiobjective particle swarm algorithm with fuzzy clustering for electrical power dispatch Shubham Agrawal, B K Panigrahi, M K Tiwari By IEEE Transactions on Evolutionary Computation 12 (5) 529 - 541 (2008)
  • Not Available.

Ph. D. Students

Mayank Shukla

Area of Research: Digital Twin and its effects in supply chain

Rony Mitra

Area of Research: Financial Management and Machine Learning

Sankara Narayanan G

Area of Research: Food Supply Chain

Sumit Kumar Biswas

Area of Research: Mitigating Uncertainty and Risk in Project Management

Vipin Kumar

Area of Research: IOT in SCM

Vishal Kumar Gupta

Area of Research: Omni channel logistics