Careers360 Logo
ask-icon
share
    Compare

    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

    Articles

    Student Community: Where Questions Find Answers

    Ask and get expert answers on exams, counselling, admissions, careers, and study options.