Operations Research Mock Test-I
Test your knowledge using the Operations Research Mock Test-I
Description
This mock test is a part of test series of Operations Research. This test series is for all level of learners. It will help you understand your level of understanding of basic knowledge and how to apply it for real life problems. Use it for various types of exams like GATE and IES preparations. Also this test series will be useful in attending viva voce and appearing for job interviews.
It includes various topics of Operations Research subject. First being Linear Programming Problem (LPP) which includes Requirements of LPP, Mathematical Formulation of LPP, Graphical method, Simplex Method Penalty Cost Method or Big M-method, Two Phase Method, Revised simplex method, Duality, Primal – Dual construction, Symmetric and Asymmetric Dual, Weak Duality Theorem, Complimentary Slackness Theorem, Main Duality Theorem, Dual Simplex Method, Sensitivity Analysis.
Transportation Problem: Formulation, solution, unbalanced Transportation problem. Finding basic feasible solutions – Northwest corner rule, least cost method and Vogel’s approximation method. Optimality test: the stepping stone method and MODI method. Assignment Problem: Introduction, Mathematical Formulation of the Problem, Hungarian Method Algorithm, Processing of n Jobs Through Two Machines and m Machines, Graphical Method of Two Jobs m Machines Problem Routing Problem, Travelling Salesman Problem.
Second topic being queuing model which includes queuing systems and structures, single server and multi-server models, Poisson input, exponential service, constant rate service, finite and infinite population.
Third one is Simulation which includes Methodology of Simulation, Basic Concepts, Simulation Procedure, Application of Simulation Monte-Carlo Method: Introduction, Monte-Carlo Simulation, Applications of Simulation, Advantages of Simulation, Limitations of Simulation.
Fourth topic is dynamic programming which includes Characteristics of dynamic programming. Dynamic programming approach for Priority Management employment smoothening, capital budgeting, Stage Coach/Shortest Path, cargo loading and Reliability problems.
Fifth topic is game theory which includes Competitive games, rectangular game, saddle point, minimax (maximin) method of optimal strategies, value of the game. Solution of games with saddle points, dominance principle. Rectangular games without saddle point – mixed strategy for 2 X 2 games.
Last one being inventory models which includes Classical EOQ Models, EOQ Model with Price Breaks, EOQ with Shortage, Probabilistic EOQ Model.
What You Will Learn!
- Solve MCQs in minimum time possible
- Apply knowledge of Operations Research
- Prepare for various competitive exams, interview and viva voce
- Last minute revision practice test
Who Should Attend!
- MBA Students
- Engineering Students
- Entrance Exam Candidates