Industry 4.0
IoT, cyber-physical systems and the data infrastructures behind the fourth industrial revolution.
§ 1Calendar
- Quiz 1—
- Quiz 2—
- End-term examination—
§ 2Previous Year Questions
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§ 3Resources
Course material1
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Drive folder
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Notes2
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Course notes
Notes and study material for this course.
iitmbsdegree.inby IITM BS Students' Corner -
Degree level notes on Medium
Notes for several degree courses collected on one page. Look for this course's section.
medium.comby Pratham Bhalla
Syllabus
The official course syllabus, transcribed from the IITM BS Data Science & Applications course booklet.
§ 1Course Description
This course introduces the key aspects of Industry 4.0, connects its challenges to relevant data science techniques, and develops tools and data-driven business models for real-world applications.
Lectures-Tutorials-Practicals-Credits: 4-0-0-4
§ 2Faculty
- Prof. Rahul Marathe, Department of Management Studies, IIT Madras
§ 3Week-by-week
Week 1: Industry 4.0 foundations; Evolution of industrial revolutions; Concepts and examples of modern industrial systems.
Week 2: Facility layout design; Types of layouts (process, product, fixed-position); Layout optimization.
Week 3: Facility location problems; Single and multi-facility models; Optimization approaches (median problems).
Week 4: Sourcing decisions; Supplier segmentation; Association rule mining (Apriori algorithm).
Week 5: Inventory management fundamentals; EOQ and newsvendor models; Dynamic inventory (Bellman equations).
Week 6: Stochastic inventory models; Value and policy iteration; Dynamic decision-making.
Week 7: Inventory management in supply networks; Material flow; Multi-stage and omni-channel systems.
Week 8: Industry 4.0 technologies; IoT; Time series forecasting; Predictive maintenance.
Week 9: Logistics and distribution management; Transportation models; TSP and vehicle routing problems.
Week 10: Digital transformation; Industry 4.0 in manufacturing; Simulation, ERP , and digital twins.
Week 11: Pricing strategies; Capacity allocation; Revenue management (Littlewood's rule).
Week 12: AI applications in manufacturing; Intelligent and automated production systems.