Program Description
This course equips you to thrive in the digital age of manufacturing. Master Product Lifecycle Management (PLM) to streamline product development, ensure data consistency, and make data-driven decisions. Explores how PLM and Enterprise Resource Planning (ERP) systems work together to optimize operations and provide real-time insights. We'll then delve into the exciting world of Smart Factories, powered by the Industrial Internet of Things (IIoT). Leverage IIoT data analysis to optimize decision-making, implement Smart Energy Management for cost reduction, and even monitor equipment remotely. Also, here it emphasizes how Smart Logistics and Supply Chain Management utilize real-time data for efficient operations. Finally, explores the Quality Management 4.0, where digital tools ensure consistent product quality. By the program’s end, you'll gain a holistic understanding of how Digital Manufacturing integrates PLM, Value Chain Management, Manufacturing Workflow and Smart Factory concepts. This comprehensive approach empowers you to lead the digital transformation within the manufacturing industry, contributing to a connected, efficient and intelligent future.
Course Objectives
- To understand basic elements in Product life cycle Management for Digital manufacturing
- To comprehend Product life Management platform and Value Chain Management
- To recognize the applications serving as driving force behind digital Manufacturing
- To understand how smart factories are made possible by a variety of technologies
- To realize a factory that uses connected devices, machines and production systems to continuously gather and share data
Key Highlights
Proficiency in Product Life Cycle and Value Chain Management concepts
Understanding of Manufacturing Workflow and integration into Smart Factory concept
Understand the Manufacturing processes using advanced technologies like IoT and Computer-Aided Technology
Experience in real-time data exchange, collaboration and decision-making through ERP integration
Familiarity with Industry 4.0 technologies such as Robotics, AGVs, IIoT, and predictive maintenance
Course enrollment data
Learning Format
Online
Duration
3 units
Certified by
IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras
and
L&T EduTech
Program Fee
Rs. 1900/- Inclusive of Tax
Downloads
Program Description
Education Qualification
Students pursuing Diploma/ UG /PG Programs in Mechanical /Manufacturing/ Mechatronics Engineering
Suggested Prerequisites
Basics on Industrial Manufacturing, Fundamentals on Automation and Applied Physics
Teaching Hours
7
Lead Faculty
Dr. J. Bhaskaran
Subject Matter Expert- L&T EduTech
Dr. J Bhaskaran, a distinguished Mechanical Engineering expert with 30 years of combined teaching and industry expertise, holds a PhD from Anna University. He has authored 20 papers in Scopus-indexed journals with over 70 citations and supervised MS and PhD students. Currently with L&T EduTech, he focuses on Digital Manufacturing and Automation. Dr. Bhaskaran has conducted technical courses for leading companies like L&T, Ford India Ltd, and Apollo Tyres. He is a member of Indian Society for Technical Education and Society of Automobile Engineering (USA). As former Head of Mechanical Engineering, he secured re-accreditation for Anna University's Mechanical Engineering Department twice under the NBA-new Tier-II-Washington accords.
Dr. J. S. Binoj
Subject Matter Expert- Manufacturing Engineering & Materials Science, L&T EduTech
Dr. Binoj specializes in Digital Manufacturing at L&T EduTech, developing courses with Senior Industrial Experts. He holds a B.E. in Mechanical Engineering (Distinction, 2008), an M.E. in Manufacturing Engineering (Gold Medalist, 2011), and a Ph.D. (SRF-P, DST, Govt. of India, 2017) from Anna University. With 14 years of experience in industry, teaching, and research, he has received 14 awards, filed 6 patents (3 international and 1 national granted), and published 130 research articles and book chapters. His interests include 3D Printing, Material Science, Surface Coatings, Machinability, and Composite Materials. He has completed two international research projects and two sponsored projects funded by DST and SVET.
