Lecture 1 - Introduction of Supply Chain Management
Lecture 2 - Fundamentals of Supply Chain Management
Lecture 3 - Supply Chain Drivers
Lecture 4 - Supply Chain Processes - I
Lecture 5 - Supply Chain Processes - II
Lecture 6 - Supply Chain Challenges
Lecture 7 - Need/Strategies
Lecture 8 - Push Vs Pull
Lecture 9 - Case Study on Product Segmentation
Lecture 10 - Case Study on Inventory Segmentation
Lecture 11 - Link between Corporate and Supply Chain Strategy
Lecture 12 - Interface between Operations and Finance
Lecture 13 - Procurement Strategy (Make Vs Buy)
Lecture 14 - Procurement Strategy (Kraljic Matrix) - I and II
Lecture 15 - Procurement Strategy (Kraljic Matrix) - I and II
Lecture 16 - Introduction to Platform Economy
Lecture 17 - Introduction to Platform Economy - Example
Lecture 18 - Introduction to Channel Structures and Supply Chain Coordination
Lecture 19 - Newsvendor Case Example (Deterministic Setting) - I and II
Lecture 20 - Newsvendor Case Example (Deterministic Setting) - I and II
Lecture 21 - Newsvendor Case (Probabilistic Setting and Contracts) - I and II
Lecture 22 - Newsvendor Case (Probabilistic Setting and Contracts) - I and II
Lecture 23 - Channel Structure Designs in Supply Chains (Brick and Mortar)
Lecture 24 - Channel Structure Designs in Supply Chains (Dual Channels)
Lecture 25 - Channel Structure Designs in Supply Chains (Multi and Omni Channels)
Lecture 26 - Introduction to Analytics and Big Data
Lecture 27 - Different Types of Analytics and its Applications in Supply Chain Management
Lecture 28 - Predictive Analytics: Case Study on Predictive Maintenance
Lecture 29 - Predictive Analytics: Classification Tree Model
Lecture 30 - Predictive Analytics: Building Classification Tree Model using Python
Lecture 31 - Role of AI/ML in Forecasting and Demand Analytics
Lecture 32 - Demand Forecasting using AI/ML: A Case Study
Lecture 33 - Demand Forecasting using AI/ML: Regression Tree Model
Lecture 34 - Demand Forecasting using AI/ML: Building Regression Tree Model using Python
Lecture 35 - Demand Forecasting using AI/ML: Random Forest Regression Model
Lecture 36 - Supply Chain Network Optimization: Break even analysis
Lecture 37 - Supply Chain Network Optimization: Facility location using Centre of Gravity
Lecture 38 - Supply Chain Network Optimization: Case on Capacitated Plant Location Model
Lecture 39 - Case on Supply Chain Network Design - I
Lecture 40 - Case on Supply Chain Network Design - II
Lecture 41 - Location of Distribution Centers using Clustering Technique: A Case Study
Lecture 42 - Steps of building K-Means Clustering Algorithm: A Case Study
Lecture 43 - Location of Distribution Centers: Building K-Means Clustering Model using Python
Lecture 44 - Measuring Efficiency of Manufacturing Facilities: A DEA Model - I
Lecture 45 - Measuring Efficiency of Manufacturing Facilities: A DEA Model - II
Lecture 46 - Role of Product Tracking and Traceability
Lecture 47 - Track and Trace Systems - I and II
Lecture 48 - Track and Trace Systems - I and II
Lecture 49 - ERP, WMS and TMS - I and II
Lecture 50 - ERP, WMS and TMS - I and II
Lecture 51 - Introduction to Supply Chain Digital Twin
Lecture 52 - Supply Chain Digital Twin: Greenfield Analysis - A Case Study - I
Lecture 53 - Supply Chain Digital Twin: Greenfield Analysis - A Case Study - II
Lecture 54 - Supply Chain Digital Twin: Network Optimization - A Case Study
Lecture 55 - Network Optimization with Capacity Constraints and Control Tower
Lecture 56 - Digital Infrastructure for Supply Chains: Industry 4.0
Lecture 57 - Industry 4.0 - IIoT, Cloud Computing, Horizontal and Vertical System Integration
Lecture 58 - Industry 4.0 - Cybersecurity, Big Data Analytics, Simulation, AR, Robots, AM
Lecture 59 - Blockchain
Lecture 60 - Supply Chain and Industry 4.0
