0000-0002-9898-0793 About
Sudhir Madhav Patil received Bachelor of Engineering degree in Mechanical Engineering from the Late B.S.Deore College of Engineering, Dhule under North Maharashtra University, Maharashtra, India and Master’s and Ph.D. degree in Production Engineering from the College of Engineering Pune (COEP) under Savitribai Phule Pune University (SPPU), India. He is currently working as Associate Professor in the Department of Manufacturing Engineering and Industrial Management of COEP Technological University (COEP Tech), Pune, Formerly College of Engineering Pune (COEP), A Unitary Public University of Government of Maharashtra. He is a Member of The Institution of Engineers (India), The American Society of Mechanical Engineers (ASME) and a Life Member of Tribology Society of India (LMTSI). His research interests include mechatronics, robotics and automation, tribology, production and industrial engineering, ERP, and project management. He has published several research papers and is a co-inventor for couple of Indian patents.
Employment
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COEP Technological University Associate Professor (CAS)2013 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (34)
- Review of sentiment analysis in social media using big data: techniques, tools, and frameworks Save
- Homogeneous transformation matrix for force-torque sensor orientation compensation in rotatable control handle Save
- A Review of Metaheuristic Algorithms for Job Shop Scheduling Save
- Comparative review of alkaline and acidic etchants in chemical milling Save
- Development and Implementation of a Smart Single-Station Manual Assembly Cell for an Inexperienced Worker to Enhance Industrial Efficiency in an MSME Save
- Development of A PLC-Based Automated Test System for The Life Cycle Evaluation of The Caster Wheel Brake Mechanisms in Medical Devices Save
- Leveraging MES Integration for Operational Excellence in A Green Field Automotive Stamping Plant: A Digital Transformation Case Study Save
- Transforming MSME assembly operations: smart manual assembly table for improved productivity Save
- Deep Learning for Vibration Signature Analysis in CNC Turning: A Review of Modern Techniques and Future Directions Save
- A Review of Metaheuristic Algorithms for Job Shop Scheduling Save