Industry 4.0 Elective Course - Lecture Notes

Course Introduction

• This is an elective course part of the online BSc program at IIT Madras, aimed at third-year students.
• Focuses on Industry 4.0, a key application area for AI and ML tools within a revolutionary framework.
• Requires basic knowledge of AI, ML, statistics, and Python.
• Course is application-oriented rather than theory-based.

Course Administration

Prerequisites

• Basic understanding of AI, ML, statistics, and Python.
• Familiarity with Python syntax and libraries is recommended.

Course Delivery Methods

• Lectures: Weekly sessions introducing key topics, covering theoretical, business, and data science aspects.
• Tutorials: Hands-on experience, involving Python coding, data set analysis, and assignments.
• Industry Talks: Insights into real-world applications from industry experts.
• Guest Lectures: Sessions led by faculty experts on specialized topics.

Course Outline

Key Topics and Sessions

1. Introduction to Industry 4.0: Evolution and History

   • Discuss the phases of industrial revolutions leading to 4.0.
   • Importance of data-driven decisions and autonomous decision-making.

2. Decision Making in Industry 4.0: Dynamic vs. Static Decisions

   • Dynamic: Moment-specific decisions (e.g., supply chain disruptions).
   • Static: Long-term strategic decisions (e.g., factory layout, facility location).

3. Process Control and Machine Control in Industry 4.0

4. Pillars of Industry 4.0

   • Digital transformation, 5G, IIOT, etc.

5. Industry Status in India

   • Guest lecture on India's current involvement and future plans in Industry 4.0.

6. Prognosis in Industry 4.0

   • Data science perspective on predicting future events in industry.

7. Quality 4.0

   • Real-time quality control using sensor data.

8. Inventory Optimization

   • Data-driven approaches for inventory management (e.g., retail, spare parts).

9. Dynamic Pricing

   • Use of machine learning in pricing strategies.

10. Logistics 4.0

    • Setting up optimal transportation networks and routing problems.

11. Future of Manufacturing Business

    • Impact of advancements like 3D printing on business models.

12. Epilogue: The Future of Industry 4.0

    • Discussion led by yet-to-be-finalized industry speaker on the future decade of Industry 4.0.

Textbooks and Additional Readings

• Main Textbook:

  • Industry 4.0 by Bill Chris (Published in 2016)

• Recommended Reading:

  • Edited book by Schandler (Published in 2018)

Conclusion

• This course aims to provide a comprehensive understanding of Industry 4.0 from both technical and business perspectives.
• Course will involve a blend of theoretical knowledge, practical coding tutorials, and insights from industry leaders.