Introtoduction to simulators
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Simulation involves imitating real-world processes over time using software on computers. It is used for decision making and answering "what if" questions about complex systems that cannot be solved mathematically. This course focuses on discrete-event simulation, which models systems as interacting components that operate together to achieve goals. Examples of systems that can be simulated include manufacturing facilities, telecommunication networks, airports, hospitals, and supermarkets. Simulations can be static like Monte Carlo models or dynamic like continuous simulations that represent how a system's behavior changes over time.
Introtoduction to simulators
- 1. INTRODUCTION To SIMULATION Created By :- Shrayas.s Wesley.V Tahir hussain Qureshi
- 2. WHAT IS SIMULATION? The imitation of the operation of a real-world process or system over time… Most widely used tool (along LP) for decision making Usually on a computer with appropriate software An analysis (descriptive) tool – can answer what if questions A synthesis (prescriptive) tool – if complemented by other tools Applied to complex systems that are impossible to solve mathematically This course focuses on one form of simulation modelling – discrete-event simulation modelling.
- 3. SYSTEM • A set of interacting components or entities operating together to achieve a common goal or objective.
- 4. Examples :- A manufacturing system with its machine centers, inventories, conveyor belts, production schedule, items produced. A telecommunication system with its messages, communication network servers. A theme park with rides, workers, …
- 5. APPLICATIONS Systems – facility or process, actual or planned Examples :- Manufacturing facility Bank operation Airport operations (passengers, security, planes, crews, baggage) Hospital facilities (emergency room, operating room, admissions) Computer network Business process Educational purpose Supermarket
- 10. Static (Monte Carlo) Dynamic Systems Represents the system at a particular point in time For Eg :- IID observations Represents the system behaviour over time For Eg :- Continuous Simulation: • Estimation of π • Risk Analysis in Business • Water Level in a Dam CLASSIFICATION OF SIMULATION MODELS