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Quick Facts

Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
EnglishSelf Study, Virtual Classroom, Campus Based/Physical ClassroomVideo and Text BasedWeekends

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesIIM Kashipur

The fees for the course eDP in Advanced Supply Chain Management and Analytics is :

Fees componentsAmount
Original fees for Indian residentsRs. 1,00,000
Discounted fees for Indian residentsRs. 80,000
For international studentsUSD 1,600

 

Instalment plan : 

TenureAmount
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

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