Supply Chain Analytics (Dr. Rajat Agrawal, IIT Roorkee) | Business and Management

Supply Chain Analytics

Supply Chain Analytics. Instructor: Dr. Rajat Agrawal, Department of Management Studies, IIT Roorkee. Supply chain analytics is the combination of data analytics into the supply chain management. In present time of intense global competition, customers are demanding more and more variety, with better quality and service at lowest cost. This means that in order to be successful, firms need to develop supply chain strategies and logistical capabilities that serve the needs of their customers whilst maximizing overall profitability. All supply chains, in order to function properly, must focus on the huge opportunity that exists in their analytics. (from nptel.ac.in)

Introduction to Supply Chain Management

Lecture 01 - Introduction to Supply Chain Management

Lecture 02 - Evolution of Supply Chain Management

Lecture 03 - Analytics in Supply Chain Management

Lecture 04 - Supply Chain Planning

Lecture 05 - Different Views of Supply Chain

Lecture 06 - Supply Chain Strategy

Lecture 07 - Supply Chain Drivers

Lecture 08 - Developing Supply Chain Strategy

Lecture 09 - Strategic Fit in Supply Chain

Lecture 10 - Demand Forecasting in a Supply Chain

Lecture 11 - Bullwhip Effect and Time Series Analytics

Lecture 12 - Experimental Smoothing Method of Forecasting

Lecture 13 - Measures of Forecasting Errors

Lecture 14 - Tracking Signal and Seasonality Models

Lecture 15 - Forecasting using Multiple Characteristics in Demand Data

Lecture 16 - Inventory Management in a Supply Chain

Lecture 17 - Multi Echelon Inventory Management

Lecture 18 - Multi Echelon Inventory Management (cont.)

Lecture 19 - Multi Echelon Inventory Management for Four Stations

Lecture 20 - Multi Echelon Inventory Management for Four Stations: Numerical Example

Lecture 21 - Multi Echelon Inventory Management for Four Stations: Numerical Example (cont.)

Lecture 22 - Network Design in the Supply chain

Lecture 23 - Network Design of Global Supply Chain

Lecture 24 - Alternative Channels of Distribution

Lecture 25 - Location Decisions in Supply chain

Lecture 26 - Network Optimization Models

Lecture 27 - Using Excel Solver for Network Optimization

Lecture 28 - Uncertainty in Network Design

Lecture 29 - Network Design in Uncertain Environment and Flexibility

Lecture 30 - Flexibility in Supply Chain

Lecture 31 - Optimal Level of Product Availability in Supply Chain

Lecture 32 - Time Value of Money in Supply Chain

Lecture 33 - Different Types of Analytics in Supply Chain

Lecture 34 - Predictive Modelling in Forecasting in Supply Chain

Lecture 35 - Representation on Uncertainty in Supply Chain

Lecture 36 - Using Decision Tree for Handling Uncertainty

Lecture 37 - Example of Using Decision Tree Incorporating Uncertainty in Single Factor

Lecture 38 - Example of Using Decision Tree Incorporating Uncertainty in Two Key Factors

Lecture 39 - Modelling Flexibility in Supply Chain

Lecture 40 - Trends, Challenges and Future of Supply Chain

References

Supply Chain Analytics
Instructor: Dr. Rajat Agrawal, Department of Management Studies, IIT Roorkee. Supply chain analytics is the combination of data analytics into the supply chain management.