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Quantitative Methods – II

Module I

Module II

  • Linear programming, Structure of linear program model, Assumption, Advantages, Limitations, General mathematical model
  • Guidelines for formulation of linear programming model, graphical method, algorithm
  • Duality in linear programming

Module viagra online prescription III

  • Transportation problem, General structure of transportation problem
  • Methods of finding initial basic feasible solution (NWCM,LCM & VAM),
  • Test for optimality (MODI Method), degeneracy
  • Problems on minimization & maximization

Module IV

  • Decision theory – decision under uncertainty- Maxmin & Minmax
  • Decision under Risk- Expected Value
  • Decision tree problems.
  • Job Sequencing- N Jobs-two machines and N Jobs-three machines, viagra brez recepta 2 jobs-M machines cases

Module V

  • Theory of games: formulation of game models, Two person Zero sum games & their solution, 2 x N and M x 2 games, pure strategy games with saddle point, Mixed viagra for sale cebu strategies (Graphical and algebraic methods)
  • Limitations of game theory

Module VI

  • Simulation: process of simulation, types of simulation, steps in simulation process, Monte Carlo simulation
  • Application in queuing, inventory, finance, marketing and HR areas
  • Advantages & Disadvantages of simulation

Module VII

  • Queuing theory, General structure of queuing system
  • Operating characteristics of queuing system
  • bph cialis reviews

  • Queuing models

Module VIII

  • Project management, Structure of projects ,phases of project management-planning, scheduling, controlling phase, work break down structure
  • Project control charts, network planning, PERT & CPM ,Network components & precedence relationships, cialis 10 mg critical path analysis, probability in PERT analysis, theory of crashing