Simulation involves modeling real-life situations and processes to analyze them or visualize outcomes. There are several types of simulations including static vs dynamic and deterministic vs stochastic. The simulation process involves defining the problem, collecting data, building a model, experimenting, and interpreting results. Simulation is widely used in fields like engineering, manufacturing, business, and government to study complex systems without having to create physical models. While simulation provides benefits like controlling variables and identifying issues, limitations include not guaranteeing optimal solutions and difficulty interpreting random outputs.

1. SIMULATIO
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By,
Mario Allen
Clement
Jovita Francy
Gabriela D’Cunna
Genevieve Dias
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2. “ TO ASSUME THE MERE
APPEARANCE OF WITHOUT
THE REALITY”
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3. AGENDA
Introduction
Types of simulations
Steps in simulation process
Simulation theory
Widely used simulation
Used By
Simulation in computers
Examples of Applications at Disney World
Advantages
Limitations
Future of Simulation
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4. INTRODUCTION
 Simulation is imitation of some real thing, or a process.
 It generally involves representation of certain.
 Key characteristics.
 Behaviors.
 Involves the use of models to represent real life
situation.
 Used to analyze practical situation.
 The technique has long been used by designers and
analysts.
 Two models:
 Scale model.
 Quantitative model.
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5. EXAMPLE OF
SIMULATION
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6. TYPES OF
SIMULATIONS Static vs. Dynamic
 Does time have a role in the model?
 Continuous-change vs. Discrete-change
 Can the “state” change continuously or only at
discrete points in time?
 Deterministic vs. Stochastic
 Is everything for sure or is there uncertainty?
 Most operational models:
 Dynamic, Discrete-change, Stochastic
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7. STEPS IN THE
SIMULATION PROCESS
 Definition of the problem along with the statement of
objectives.
 Collection of appropriate data and on possible states of
outcome.
 Construction of an appropriate model for experimentation.
 Experimentation with a large number of data.
 Interpretation of the results of simulation.
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8. SIMULATION THEORY
 John Von Neumann and Stanislaw Ulam.
 An optimizing technique to yield results.
 Used when there are too many decision making situations.
 Studying the tedious behavior of neurons in a nuclear
shielding program.
Simulation is one of the most widely used techniques in operations research
and management science.
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9. WIDELY USED
SIMULATION
 “Monte Carlo” simulation:
 Used mainly due to work on the atomic bomb.
 Used to simulate bombing raids.
 Given the security code name “Monte-Carlo”.
 Still widely used today for certain problems.
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10. WHAT CAN BE
SIMULATED?
Almost anything can
and
almost everything has...
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11. USED BY
 Computer systems: hardware components, software
systems, networks, data base management, information
processing, etc..
 Manufacturing: material handling systems, assembly
lines, automated production facilities, inventory control
systems, plant layout, etc..
 Business: stock and commodity analysis, pricing
policies, marketing strategies, cash flow analysis,
forecasting, etc..
 Government: military weapons and their use, military
tactics, population forecasting, land use, health care,
delivery, fire protection, criminal justice, traffic control, etc..
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12. SIMULATION IN
COMPUTERS
 Simulation languages
 GPSS, SIMSCRIPT, SLAM, SIMAN
 Popular, still in use
 Learning curve for features, effective use, syntax
 High-level simulators
 Very easy, graphical interface
 Domain-restricted (manufacturing,
communications)
 Limited flexibility - model validity.
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13. EXAMPLES OF
APPLICATIONS AT
DISNEY WORLD Cruise Line Operation:
 Simulate the arrival and check-in process at the dock.
 Private Island Arrival:
 How to transport passengers to the beach area?
 Bus Maintenance Facility:
 Investigated “best” way of scheduling preventative
maintenance trips.
 The rides at Disney world:
 Everything is simulated everyday.
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14. ADVANTAGES
 Interaction of random events
 Non-standard distributions
 Communication tool (visualisation, animation).
 It is able to show the behaviour of a system
 Allows us to control time.
 Allows us to identify bottlenecks.
 Basic concept of simulation is easy to comprehend
 Requires fewer simplifying assumptions
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15. LIMITATIONS
 Not an optimum solution.
 Observations fail to detect the worse situation.
 Many experiments have to be conducted
 Any experimentation results in the destruction of product
experimented.
 Simulation results are sometimes hard to interpret.
 Get random output.
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16. FUTURE OF
SIMULATION
 Used widely and extensively.
 Will form a basis for a ground breaking technology.
 Better technology will simulate more accurate.
 Simulation might just be replaced by predictions (minority
report)
 Will help human kind.
 Even kids might start using it very soon.
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