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Management science

Module I : Introduction O R, application of OR techniques in modern managerial making,linear programming- formulation of L P solving L P graphicial –simplex method, special cases in LP degeneracy, alternate optima unbounted infeasible solution. Concept of duality and sensitivity analysis.

 

Module II: Transportation and assignment models

 

Transportation model- finding initial basic feasible solution , least cost method, Vogel approximation method , optimum solution method, special cases, unbalanced TP, degeneracy in TP, alternative TP, transshipment model.

 

Assignment Model- Hungarian method .

 

Module III:

Network models, PERT/CPM, application and importance, networks determination of critical paths slacks and floats.

Determination of PERT times crashing resource allocation and leveling

 

Module IV:

 

Decision theory- types decision making environment, decision making certainty, risk and uncertainty, decision tree approach.

Game theory- use of dominance- linear programming approach.

 

Module V:

Simulation, basic concepts, monte -carlo simulation

Queuing theory, basic elements of queuing model, operating characteristics system(M/M/I) Model.

 
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