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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
INR 1000yesIIT Roorkee

The Syllabus

  • Introduction to Decision Making with Spreadsheet
  • Profit
  • Cost, and Revenue Models
  • Breakeven Analysis
  • Formulation and assumptions of Linear Programing Problems
  • Graphical
  • Solution Method of solving Linear Programming Problems
  • Solving Linear Programming
  • Problems using MS Excel Solver
  • Special Cases of Linear Programming Problems: Alternate
  • optimal solution
  • unbounded problems
  • Infeasibility.

  • Sensitivity Analysis
  • Range of optimality
  • Dual value
  • Limitations of classical sensitivity
  • analysis
  • Linear Programming Applications: Marketing (Media selection, Marketing Research)
  • Linear Programming Applications: Finance (Portfolio Management)

  • Linear Programming Applications: Operations (Production Scheduling, A Make-or-Buy
  • Decision)
  • Linear Programming Applications: workforce allocation
  • Advanced Linear
  • Programming Applications: Data Envelopment Analysis, Game Theory, Game Theory- B’s
  • perspective Dominance rule

  • Advanced Linear Programming Applications: Finance - Portfolio Models and Asset
  • Allocation for conservative and moderate risk-taking investor Introduction to Revenue management
  • Linear Programming Problem for Revenue Management

  • Distribution and Network Models: Transportation Problem and Transhipment Problem
  • Assignment Problem
  • Shortest Path Problem
  • Maximum flow problem
  • Production and Inventory problem

  •  Non-Linear Optimization Models: Markowitz Portfolio Model and its variants Forecasting adoption of a new product- Bass Forecasting Model
  • Application of Non-linear Programming for Pricing Project Scheduling: PERT/CPM, Earliest Starting and Earliest Finishing times of activities Forward Pass, Latest Starting and Latest Finishing times of activities, Backward Pass, Slack.

  • Project Scheduling for uncertain activities
  • Expected duration of an activity
  • Variance of an activity
  • Finding the probability of a path meeting the deadline
  • Time–Cost trade-offs
  • Crashing Activity Times
  • Linear Programming Model for Crashing
  • Inventory Models: Economic
  • Order Quantity (EOQ) Model
  • Non-Linear Programming for finding EOQ
  • Reorder point
  • Inventory Model with Planned Shortages

  • Quantity Discounts for the EOQ Model
  • Single-period Inventory Model with
  • Probabilistic Demand
  • Multi-Period Order-Quantity
  • Reorder Point Model with Probabilistic
  • Demand
  • Periodic Review Model (P-type) with Probabilistic Demand
  • Financial risks associated
  • with the development of a new product: Simulation
  • Risk Analysis

  • Waiting Line Models Structure of a waiting line System
  • Single-Server waiting line model with Poisson Arrivals 
  • Multiple-Server waiting line model with Poisson Arrivals
  • waiting line models

  • Simulation: Risk Analysis: What-if analysis, Inventory simulation, Waiting Line simulation, Simulation with two Quality Inspectors, other simulation issues.

  • Decision Analysis: Formulation, Decision Making without Probabilities, Decision Making with Probabilities, Risk and Sensitivity Analysis, Computing Branch Probabilities with Baye’s Theorem, Utility Theory

  • Multi criteria Decisions
  • Time Series Analysis and Forecasting Time Series Patterns
  • Moving Averages and Exponential Smoothing
  • Linear Trend Projection
  • Seasonality
  • Conclusion

Instructors

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