Home > Industrial and Systems Engineering > Manoj Kumar Tiwari
Professor
Industrial and Systems Engineering
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 by Arijit De, Vamsee Krishna Reddy Mamanduru, Angappa Gunasekaran , Nachiappan Subramanian, MK Tiwari Computers & Industrial Engineering 96 201-2015 (2016)
Performance measures based optimization of supply chain network resilience: A NSGA-II+ Co-Kriging approach by V Dixit, N Seshadrinath, MK Tiwari Computers & Industrial Engineering 93 205-214 (2016)
Integrated Scheduling of Rake and Stockyard Management with Ship Berthing: A Block Based Evolutionary Algorithm by Saurabh Pratap, M Kumar B, D Saxena, M K Tiwari International Journal of Production Research 54(14) 4182-4204 (2015)
A carbon market sensitive optimization model for integrated forward-reverse logistics by A Choudhary, S Sarkar, S Settur, MK Tiwari 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 by Akshay Kangale, S Krishna Kumar, Mohd Arshad Naeem, Mark Williams, MK Tiwari International Journal of Systems Science 47(13) 3272-3286 (2015)
Interactive particle swarm: a Pareto-adaptive metaheuristic to multiobjective optimization by Shubham Agrawal, Yogesh Dashora, Manoj Kumar Tiwari, Young-Jun Son IEEE Transactions on Systems, Man, And Cybernetics-Part A: Systems and Humans 38 (2) 258-277 (2008)
Global supplier selection: a fuzzy-AHP approach by Felix TS Chan, N Kumar, M K Tiwari, HCW Lau, KL Choy International Journal of Production Research 46 (14) 3825-3857 (2008)
Multiobjective particle swarm algorithm with fuzzy clustering for electrical power dispatch by Shubham Agrawal, B K Panigrahi, M K Tiwari IEEE Transactions on Evolutionary Computation 12 (5) 529 - 541 (2008)
Digital Manufacturing and Industrial Internet of Things for Enhanced Supply Chain Co-ordination, Quality and Maintenance Department of Heavy Industries (DHI) ,TATA SONS PRIVATE LIMITED
AI-Driven Resilient Semiconductor Supply Chain Scheme for Promotion of Academic and Research Collaboration (SPARC), Apex Committee of SPARC
Vishal Kumar Gupta
Area of Research: Omni channel logistics
Mayank Shukla
Area of Research: Digital Twin and its effects in supply chain
