Current technology ensures the better application of AI & ML in various domains with better results. With the help of AI & ML, the business enhances the management activities from forecasting, planning, scheduling, optimisation, transportation. The study aims to reveal the applications of AI & ML in the various Operation Management activities. AI and ML play around the data and ensures the aforementioned activities in an effective manner for achieving excellence. The application of AI and ML in operations leads to enhance the accuracy of the decision making and forecasting activities too. The expected outcome of the study would be new theories, methodologies and guidelines
Department & Campus
Amrita School of Business, Coimbatore
Dr T Sakthi Nagaraj, is Assistant Professor at Amrita School of Business, Coimbatore. He has completed Ph.D. and M. Tech. in Industrial Engineering & Management (IEM) domain from the Department of Production Engineering, National Institute of Technology, Tiruchirappalli, India. He has received AMIE-Mechanical Engineering from The Institution of Engineers (India).
He has also published research articles in International Journals, in proceedings of the leading international conferences and one book chapter, and also the reviewer of reputed journals.
A Member of The Institution of Engineers (India) and the Indian Society of Ergonomics, he is involved in Innovative and ergonomic product/process interventions, Innovative Product Development, Toyota Production System, Sustainable manufacturing, Total Quality Management, Six-Sigma projects, Data Analysis and Design thinking.
He has hands-on experience in handling development projects in the Textile industry in Sri Lanka.
During the tenure in NIT Tiruchirappalli, he was involved in teaching and research activities for seven years. His hands-on experience includes:
a) Managing continuous improvement projects, risk analysis, root-cause analysis, benchmarking & decision making.
b) Implementing innovative projects developed by using DMAIC, TQM tools and techniques, six-sigma techniques and sustainable manufacturing concepts.
c) Involved in reliable data collection & analysis for understanding the system.
d) Involved in work-study and performance rating, capacity planning, line balancing, operation bulletin preparation, layout redesigning and employee grading.
e) Implementation of cellular manufacturing, SPC, 6S, VSM & Proactive ergonomic interventions.