ABOUT THE COURSE:This course explores the disruptive forces of Industry 4.0 and its transformative impact on manufacturing and adjacent sectors. It equips MBA and engineering students—as well as faculty—with strategic and practical knowledge to upgrade their knowledge and skill and as well navigate and lead Industry 4.0 initiatives. Participants will gain a deep understanding of foundational technologies and their applications with list of use cases in domain industry 4.0 technologies such as IoT, AI, digital twins, and additive manufacturing, along with frameworks for digital transformation, governance, and workforce adaptation.A key highlight of the course is the study of global best practices from 169 nos. World Economic Forum–recognized Lighthouse companies—pioneers in leveraging AI and Industry 4.0 technologies for operational excellence and business augmentation. Drawing from these real-world case studies, as well as insights from leading consulting firms and OEMs, the course blends theory with applied learning. It also integrates frontier topics such as generative AI, intelligent automation, and digital business models to build industry-ready capabilities and enable value chain transformation.INTENDED AUDIENCE: Both Faculty and Students of Management and Engg disciplinePREREQUISITES: Science Background is preferredINDUSTRY SUPPORT: All manufacturing companies will recognize learning of this course

Syllabus

Week 1: Module I– Foundation Knowledge on industry 4.0

Lecture Topics:
•Evolution of the Fourth Industrial Revolution (4IR) and Overview of Industry 4.0.
•Manufacturing Shifts and Role of Industry 4.0.
•Key Technology Trends: Connectivity, Intelligence, Flexible Automation.
•Digitalization vs. Digital Transformation.
•Global Best practices of industry 4.0:
World Economic Forum: Light House Network Companies Industry 4.0 leaders
Week 2:Drivers and Enablers of industry 4.0

• Business Value
• Process Value Chain
• Industry 4.0 framework
• Connected Products, Connected Assets and Realtime connectivity
• Talent & skill for Industry 4.0
Week 3:Module II – Overview & Use Cases of Key Technologies for Industry 4.0

Topics: In areas of following technologies
• AI and Machine Learning
• Generative AI and Robotics in Manufacturing Efficiency.
• Additive Manufacturing & 3D Printing.
• Computer Vision.
• Digital Twin & Simulation.
• Robotics and Humanoids: Industry Examples.
• AR/VR
- List of Digital Manufacturing Use cases
Week 4:Module II – Infrastructure Requirement, Data Strategy and Security for Industry 4.0 Implementation

• Industry 4.0 6 layered Architecture
• IoT Platforms: Architecture and Functionality.
• Cloud Computing.
• Data Analytics & AI/ML for Predictive Insights.
• Cybersecurity Risks in Connected Manufacturing
Week 5:Role of Machine Learning & Artificial Intelligence (AI) in Industry 4.0

Methodology of identification of AI/ Gen AI Use case: Use Case Prism AI/ML/Gen AI Use case summary

Industry Case studies: Tata steel
Week 6:Module III – Smart Manufacturing

• Smart Factory Building blocks & Framework with Live examples
• Smart Assets, Data, Products, and Services.
• Key Challenges in setting up of Smart Factory
• World economic forum Smart Factory Reference Literature
Week 7:Module IV – Digital Business Models & Governance

Lecture Topics:
• Digital Business Models
• Industry 4.0 Governance Models.
• Smart Manufacturing Maturity Assessment and defining KPIs for measurement
• Change Management for Workforce Upskilling
Week 8:Module IV – Roadmap & Future Trends

Lecture Topics:
Part A: National Roadmap for industry 4.0
• Government schemes and Policies (e.g., India’s SAMARTH Udyog).
• Study of Ministry reports, NASSCOM/ McKinsey Reports
Part B: Sustainability & Future Trends
• Green Manufacturing and Circular Economy.
• Sustainability Metrics (Energy/Resource Efficiency KPIs)