People Innovation Excellence

Quantitative Methods

Learning Outcomes

On successful completion of this course, student will be able to: Explain basics of quantitative methods, statistics and probability theory; Interpret real problem to quantitative analysis; Analyze suitable tools for the real problem; Use quantitative methods solution for real problems

Topics

  1. Introduction
  2. Decision analysis
  3. Utility and game theory
  4. Forecasting
  5. Linear programming and sensitivity analysis
  6. Linear programming application
  7. Transportation, assignment and transhipment problem
  8. Project scheduling PERT/CPM
  9. Inventory models
  10. Waiting line models
  11. Multicriteria decisions

 


Published at : Updated

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