machines applicationapplicationapplication.pptx

application

1. Introduction to Modeling & Simulation Lecture 1 (Simplified Version)

2. Learning Goals Samajhna: System, Model, Simulation Simulation ki need kyu hai? Types of systems aur models

3. What is a System? Components jo ek sath kaam karte hain Input → Process → Output → Feedback Examples: Traffic system, Hospital, Banking system

4. Why Study Systems? Complex real-world problems ko simplify karne ke liye System analysis helps to: Identify objectives Boundaries define karna Components aur environment samajhna

5. What is a Model? Simplified version of a system Sirf important details ko represent karta hai Examples: Map, Equation, Flight Simulator

6. What is Simulation? Model ko chalana jisse system ki real behavior imitate ho Examples: Weather forecast, Traffic simulation, Flight training

7. Why Simulation? Real system pe test karna mushkil, costly, ya dangerous ho sakta hai Simulation is: Safe Cost-effective Repeatable

8. Classification of Systems Natural vs. Man-made Deterministic vs. Stochastic Static vs. Dynamic Continuous vs. Discrete Open vs. Closed

9. Examples of System Types Traffic lights → Discrete, Dynamic Weather → Continuous, Stochastic Solar system → Deterministic, Continuous

10. Advantages of Simulation Cost-saving Risk-free Time-saving Experiment repeatability

11. Limitations of Simulation Approximation hoti hai (100% accurate nahi) Valid data required Kabhi kabhi expensive bhi ho sakti hai

12. Applications of Simulation Engineering (aircraft, cars) Medical (disease spread, surgery training) Business (bank queues, supply chain) Computer Science (networks, AI)

13. Summary System = interconnected components Model = simplified version Simulation = model execution Simulation is useful, but not perfect

14. Review Questions System aur model me difference kya hai? Ek deterministic aur ek stochastic system ka example do. Simulation ki ek real-life application likho.