Course11010143665 lectures
Supply Chain Digitization
Prof. Priyanka Verma Prof. Sushmita Narayana Prof. Debabrata Das · IIT Bombay
Lectures
week-00
week-01
- Week 01: Lecture 01: Introduction of Supply Chain Management
- Week 01: Lecture 02: Fundamentals of Supply Chain Management
- Week 01: Lecture 03: Supply Chain Drivers
- Week 01: Lecture 04: Supply Chain Processes - I
- Week 01: Lecture 05: Supply Chain Processes - II
week-02
- Week 02: Lecture 06: Supply Chain Challenges
- Week 02: Lecture 07: Need/ Strategies
- Week 02: Lecture 08: Push Vs Pull
- Week 02: Lecture 09: Case Study on Product Segmentation
- Week 02: Lecture 10: Case Study on Inventory Segmentation
week-03
- Week 03: Lecture 11: Link between Corporate & Supply Chain Strategy
- Week 03: Lecture 12: Interface between Operations & Finance
- Week 03: Lecture 13: Procurement Strategy (Make Vs Buy)
- Week 03: Lecture 14: Procurement Strategy (Kraljic Matrix) - I & II
- Week 03: Lecture 15: Procurement Strategy (Kraljic Matrix) - I & II
week-04
- Week 04: Lecture 16: Introduction to Platform Economy
- Week 04: Lecture 17: Introduction to Platform Economy - Example
- Week 04: Lecture 18: Controllability in the behavioural framework and its equivalent conditions
- Week 04: Lecture19: Newsvendor Case Example (Deterministic Setting) I & II
- Week 04: Lecture 20: Newsvendor Case Example (Deterministic Setting) I & II
week-05
- Week 05: Lecture 21: Newsvendor Case (Probabilistic Setting & Contracts) I & II
- Week 05: Lecture 22: Newsvendor Case (Probabilistic Setting & Contracts) I & II
- Week 05: Lecture 23: Channel Structure Designs in Supply Chains (Brick & Mortar)
- Week 05: Lecture 24: Channel Structure Designs in Supply Chains (Dual Channels)
- Week 05: Lecture 25: Channel Structure Designs in Supply Chains (Multi & Omni Channels)
week-06
- Week 06: Lecture 26: Introduction to Analytics and Big Data
- Week 06: Lecture 27: Different Types of Analytics and its Applications in Supply Chain Management
- Week 06: Lecture 28: Predictive Analytics: Case Study on Predictive Maintenance
- Week 06: Lecture 29: Predictive Analytics: Classification Tree Model
- Week 06: Lecture 30: Predictive Analytics: Building Classification Tree Model using Python
week-07
- Week 07: Lecture 31: Role of AI/ML in Forecasting & Demand Analytics
- Week 07: Lecture 32: Demand Forecasting using AI/ML: A Case Study
- Week 07: Lecture 33: Demand Forecasting using AI/ML: Regression Tree Model
- Week 07: Lecture 34: Demand Forecasting using AI/ML: Building Regression Tree Model using Python
- Week 07: Lecture 35: Demand Forecasting using AI/ML: Random Forest Regression Model
week-08
- Week 8: Lecture 36: Supply Chain Network Optimization: Break even analysis
- Week 8: Lecture 37: Supply Chain Network Optimization: Facility location using Centre of Gravity
- Week 8: Lecture 38: Supply Chain Network Optimization: Case on Capacitated Plant Location Model
- Week 8: Lecture 39: Case on Supply Chain Network Design - I
- Week 8: Lecture 40: Case on Supply Chain Network Design - II
week-09
- Week 9: Lecture 41: Location of Distribution Centers using Clustering Technique: A Case Study
- Week 9: Lecture 42: Steps of building K-Means Clustering Algorithm: A Case Study
- Week 9: Lecture 43: Location of Distribution Centers: Building K-Means Clustering Model using Python
- Week 9: Lecture 44: Measuring Efficiency of Manufacturing Facilities: A DEA Model (I)
- Week 9: Lecture 45: Measuring Efficiency of Manufacturing Facilities: A DEA Model (II)
week-10
- Week 10: Lecture 46: Role of Product Tracking & Traceability
- Week 10: Lecture 47: Track & Trace Systems (I & II)
- Week 10: Lecture 48: Track & Trace Systems (I & II)
- Week 10: Lecture 49: ERP, WMS & TMS (I & II)
- Week 10: Lecture 50: ERP, WMS & TMS (I & II)
week-11
- Week 11: Lecture 51: Introduction to Supply Chain Digital Twin
- Week 11: Lecture 52: Supply Chain Digital Twin: Greenfield Analysis – A Case Study (I)
- Week 11: Lecture 53: Supply Chain Digital Twin: Greenfield Analysis – A Case Study (II)
- Week 11: Lecture 54: Supply Chain Digital Twin: Network Optimization – A Case Study
- Week 11: Lecture 55: Network Optimization with Capacity Constraints & Control Tower
week-12
- Week 12: Lecture 56: Digital Infrastructure for Supply Chains: Industry 4.0
- Week 12: Lecture 57: Industry 4.0 - IIoT, Cloud Computing, Horizontal & Vertical System Integration
- Week 12: Lecture 58: Industry 4.0 – Cybersecurity, Big Data Analytics, Simulation, AR, Robots, AM
- Week 12: Lecture 59: Blockchain
- Week 12: Lecture 60: Supply Chain and Industry 4.0
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Bombay
- Department
- Management
- Teacher
- Prof. Priyanka Verma Prof. Sushmita Narayana Prof. Debabrata Das
- Level
- Undergraduate
- Language
- English
- Subjects
- Business and management
- 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
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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