Operation Research Tutor in Noida –
- Conduct one-on-one or group tutoring sessions to support students in operations research. operation research tutor in noida
- Explain complex mathematical models and optimization techniques in a clear and accessible way.
- Assist students with homework, assignments, and research projects.
- Teach methods such as linear programming, integer programming, dynamic programming, queuing theory, and Monte Carlo simulations.
- Provide guidance on the use of software tools for solving operations research problems.
- Evaluate students’ progress and adapt teaching methods accordingly.
- Develop study materials, problem sets, and real-world case studies.
Operation Research Tutor in Noida
1. Introduction to Operations Research
- Definition and Scope of Operations Research
- Applications of OR in Business, Engineering, and Management
- Phases of OR: Formulation, Solution, Validation, and Implementation
- OR Modeling Approach
2. Linear Programming (LP)
- Formulation of Linear Programming Problems
- Graphical Method for Two-Variable LP Problems
- Simplex Method: Standard Form and Computational Steps
- Duality in Linear Programming and Dual Simplex Method
- Sensitivity Analysis in LP
3. Integer Programming
- Introduction to Integer Linear Programming (ILP)
- Branch and Bound Method
- Cutting Plane Method
- Applications of Integer Programming
4. Transportation and Assignment Models
- Transportation Problem: Formulation, North-West Corner Rule, Least Cost, and Vogel’s Approximation Method
- MODI Method for Optimality in Transportation Problems
- Assignment Problem: Hungarian Method
- Variations in Assignment Problems (Maximization and Restrictions)
5. Network Optimization Models
- Shortest Path Problem (Dijkstra’s Algorithm, Floyd-Warshall Algorithm)
- Minimum Spanning Tree (Prim’s and Kruskal’s Algorithm)
- Maximum Flow Problems (Ford-Fulkerson Algorithm)
- Project Scheduling: Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT)
Operation Research Tutor in Noida
6. Dynamic Programming
- Principles of Optimality
- Applications in Resource Allocation, Inventory Control, and Shortest Path Problems
- Deterministic vs. Stochastic Dynamic Programming
7. Queuing Theory
- Characteristics of Queuing Systems (Kendall’s Notation)
- Single-Server and Multi-Server Models (M/M/1, M/M/c)
- Applications in Service Systems and Industrial Operations
Operation Research Tutor in Noida
8. Game Theory and Decision Analysis
- Two-Person Zero-Sum Games
- Pure and Mixed Strategy Games
- Nash Equilibrium and Dominance Rule
- Decision Making Under Uncertainty (Maximin, Minimax, Expected Value Criterion)
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9. Inventory Models
- Deterministic Inventory Models (EOQ, EPQ, Price Break Models)
- Probabilistic Inventory Models (Single-Period and Multi-Period Models)
- ABC Analysis and Just-in-Time (JIT) Inventory Systems
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