V. Madhusudanan Pillai
National Institute of Technology Calicut, National Institute of Technology
0000-0001-6702-7994
About
V. Madhusudanan Pillai is Professor in the Department of Mechanical Engineering, National Institute of Technology Calicut, Kerala, India. With more than 30 years of teaching experience and over 150 publications in international journals and conferences, and editorship of a book, he has developed several laboratory exercises and software packages in the area of manufacturing management and supply chain management. His expertise in the area of developing the logic for e-learning tools on supply chain operation simulation has resulted in the development of several supply chain operation simulators and he owns copyright for three such software packages. He offers courses on Manufacturing planning and control, Inventory and supply chain management, Lean production management, and Group technology & FMS. His research interest includes modelling of problems in supply chain operation simulation, e-learning tools for supply chain operation simulation, sustainable supply chain management, cellular manufacturing systems, material requirements planning, scheduling, facility layout planning, inventory control, lean manufacturing, manpower planning – annualised hours, ergonomics, and machine learning and blockchain applications in operations management.
Employment
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National Institute of Technology Calicut Professor2018 - Present
Education
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National Institute of Technology PhD1997 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (51)
- An ensemble stacking machine learning model for temperature prediction of extruder nozzle in an additive manufacturing process Save
- Decentralized finance for supply chain cash-flow: token-to-fiat currency exchange model Save
- Correction to deep reinforcement learning-based ordering mechanism for performance optimization in multi-echelon supply chains Save
- Deep reinforcement learning‐based ordering mechanism for performance optimization in multi‐echelon supply chains Save
- Blockchain-Based Decentralized Information Sharing for Supply Chain Management Save
- Data-driven imitation learning-based approach for order size determination in supply chains Save
- Blockchain-enabled beer game: a software tool for familiarizing the application of blockchain in supply chain management Save
- A survey on discrete space and continuous space facility layout problems Save
- A two-stage solution approach for unequal area facility layout problem with bi-directional relaxed flexible bay structure Save
- Blockchain technology: a troubleshooter for blood cold chains Save