eDP in Advanced Supply Chain Management and Analytics
Part time, Online
6 Months
1,00,000 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based | Weekends |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIM Kashipur |
The fees for the course eDP in Advanced Supply Chain Management and Analytics is :
| Fees components | Amount |
| Original fees for Indian residents | Rs. 1,00,000 |
| Discounted fees for Indian residents | Rs. 80,000 |
| For international students | USD 1,600 |
Instalment plan :
| Tenure | Amount |
| 1st instalment | Rs. 25,000 + GST |
| 2nd instalment | Rs. 30,000 + GST |
| 3rd instalment | Rs. 25,000 + GST |
The Syllabus
- Introduction to Supply Chain Management
- Supply Chain Drivers and Metrics
- Role of Cycle Inventory in a Supply Chain
- Lot Sizing for a Single Product – The EOQ MODEL
- The Role of Safety Inventory
- Cycle service level (CSL)
- Impact of Supply Uncertainty on Safety Inventory
- Newsvendor model
Demand Forecasting in a Supply Chain
- Classification of forecasting methods, Measures of forecast error
- Introduction to Sourcing and its contribution to business performance
- Sourcing Function and how it works
- Purchasing Policy and Procedures
- Supplier Selection and Evaluation
- Supplier governance & risk management
- E-Procurement /Reverse auction
- Managing the contract and supplier Relationship
- Global Sourcing
- Introduction to Service Operations Management
- Service Supply Relationships
- Forecasting Demand for Services
- Service Design
- Service value proposition
- Delivering service guarantee
- Services and branding
- Lean, Waste, Toyota Production System, Just-in- Time (JIT)
- Single Minute Exchange of Die, Kaizen, Kanban
- Strategies for designing a lean supply chain
- Risk Pooling
- Agile & Resilient SC
- Visualization techniques in supply chain
- The Concepts of Descriptive, Predictive, and Prescriptive Analytics in Supply Chain Management
- Introduction to Generic Parameters of a Decision-making Problem
- Introduction to Linear Programming and its Applications
- Sensitivity Analysis and its Significance
- Formulation and Solution to Transportation problems
- Introduction to Integer Programming and its Applications
- Prescriptive Analytics for Distribution Network Optimization
- Goal Programming for Supply Chain Optimization, Multi-objective vs. Single-objective Optimization Problems
- Managing Information Flows and Bullwhip Effect in Supply Chains: Analyzing the Effect of Service Level and Centralized Information
- Introduction to Multi-criteria Decision Making
- Introduction to Analytic Hierarchy Process (AHP)
- Supplier selection using AHP
- Supply Chain Risk Analytics
- Solving prediction problems using Linear Regression and Regression Trees
- Solving classification problems using Logistic regression, Classification trees
- Solving clustering problems using k-means clustering
- Building Predictive Models
- Optimization techniques for Supply Chain Analytics
- Big Data Analytics for Supply Chain Management
Sustainable supply chain
- Current trends in Digital Supply Chain
- Supply Chain 4.0 and its benefits
Instructors
Articles
22 Jan'25, 01:13 PM
18 Jan'24, 11:38 AM
28 Mar'22, 11:13 AM
22 Jan'25, 01:13 PM
18 Jan'24, 11:38 AM
28 Mar'22, 11:13 AM