Course12710187240 lectures
Industry 4.0: Managing The Digital Transformation
Prof Murli Dhar Agrawal · IIT Bombay
Lectures
Week 1
- Lecture 1: Evolution of the Fourth Industrial Revolution (4IR) and Industry 4.0
- Lecture 2: Digital Transformation and Industry 4.0 Principles
- Lecture 3: Foundation technologies of Industry 4.0: Connectivity, IoT, Big Data, Cloud
- Lecture 4: Foundation Technology:IoT platform, Edge Computing, Connected Products
- Lecture 5: Data, cloud and advance Analytics
Week 2
- Lecture 6: Playbook of Industry 4.0 Technologies, Convergence, Integration, Digitalization & Framework
- Lecture 7: Automation of Enterprise using RPA and Intelligent RPA
- lecture 8: Additive Manufacturing and 3D based revolution in manufacturing
- Lecture 9: Augmented Reality, Virtual Reality, Mixed Reality and Computer Vision
- lecture 10: Advance concepts of Augmented Technologies, Computer Vision, Virtual AI
Week 3
- Lecture 11: Business Value Vale Chain and Processes for Industry 4.0
- Lecture 12: Frameworks: Industry 4.0 Value, RAMI 4.0 engineering core McKinsey Industry 4.0
- Lecture 13: Digitalization and digital transformation & Roadmap for implementation
- Lecture 14: Six models of Digitalization, Cert & Cyber Security standards Global Lighthouses
- Lecture 15: What are learnings from World Economic Forum's Global Lighthouse Companies Use Cases
- Lecture 16: Tata Steel Case Study One of Global Light House Company by WEF
Week 4
- Lecture 17: Innovation Playbook for Industry 4.0 and Overview of Industry 5.0 & Advance Technologies
- Lecture 18: Emergence of industry 5.0 standards: Transcending I4.0 to I5.0
- Lecture 19: Role of AI in Building Industry 5.0 Solutions
- Lecture 20: Introduction of Digital Twin (Concept)
Week 5
- Lecture 21: Introduction of reference architecture for setting up Digital Infrastructure
- Lecture 22: Application Layer API Platform as a service for application integration
- Lecture 23: An overview of Data Management Reference data architecture
- Lecture 24: Digital data product, Cyber security management, Data Privacy Law
- Lecture 25: Case Studies of Cyber & Information security, AI security failure, governance framework, Data Protection and Privacy Law
Week 6
- Lecture 26: Introduction of Smart Manufacturing and Intelligent Manufacturing
- Lecture 27: Framework of Smart Manufacturing, connected workers, assets, plants
- Lecture 28: Automation Vs Autonomous & Role of Robotics, Humanoid, GenAI
- Lecture 29: Revolution in Humanoid Use and AI playbook for smart manufacturing
- Lecture 30: Strategy for preparing workers for Smart Manufacturing and Smart Supply Chain and Logistics
Week 7
- Lecture 31: Re-envisioning Manufacturing Business Model
- Lecture 32: Maturity Assessment elements and a brief overview of the global SIRI Framework & KPI
- Lecture 33: Re-envisioning the Digital Workplace for Industry 4.0 / 5.0
- Lecture 34: Democratization of Industry 4.0: Health Care and BFSI
- Lecture 35: Democratization of Industry 4.0: Agriculture and Retail& Consumer
Week 8
- Lecture 36: AI Acceleration by the Government of India: Plans and Schemes
- Lecture 37: Key Success Factors for the adoption of Industry 4.0 / 5.0 and preparing for Industry 4.0 and AI Mindset
- Lecture 38: Industry 4.0 rollouts in India
- Lecture 39: Impact of Industry 4.0 and AI
- Lecture 40: Industry 4.0 Driver for emergence of New category of Jobs
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Bombay
- Department
- Multidisciplinary
- Teacher
- Prof Murli Dhar Agrawal
- Level
- Undergraduate
- Language
- English
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
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