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INTRODUCTION TO
SIMULATION
by
ATHIRAA
NATURAL SCIENCE
MANNAM FOUNDATION CENTRE FOR
EDUCATION TECHNOLOGY
07/16/16 Industrial Engineering - EMJ 2
WELCOME
Definition:
“Simulation is the process of designing
a model of a real system and conducting
experiments with this model for the
purpose of either understanding the
behavior of the system and/or
evaluating various strategies for the
operation of the system.”
- Introduction to Simulation Using SIMAN
(2nd Edition)
Allows us to:
• Model complex systems in a detailed way
• Describe the behavior of systems
• Construct theories or hypotheses that account for
the observed behavior
• Use the model to predict future behavior, that is,
the effects that will be produced by changes in the
system
• Analyze proposed systems
Simulation is one of the most widely
used techniques in operations research
and management science…
No longer the approach of “last resort”!
What can be simulated?
Almost anything can
and
almost everything has...
Applications:
• 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..
And the list goes on and on...
Advantages to Simulation:
Simulation’s greatest strength is
its ability to answer
“what if” questions...
Advantages to Simulation:
• Can be used to study existing systems without disrupting the
ongoing operations.
• Proposed systems can be “tested” before committing resources.
• Allows us to control time.
• Allows us to identify bottlenecks.
• Allows us to gain insight into which variables are most
important to system performance.
Simulation is not
without its drawbacks...
Disadvantages to Simulation
• Model building is an art as well as a science. The quality
of the analysis depends on the quality of the model and the
skill of the modeler (Remember: GIGO)
• Simulation results are sometimes hard to interpret.
• Simulation analysis can be time consuming and expensive.
Should not be used when an analytical method would
provide for quicker results.
THANK YOU

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Athira

  • 1. INTRODUCTION TO SIMULATION by ATHIRAA NATURAL SCIENCE MANNAM FOUNDATION CENTRE FOR EDUCATION TECHNOLOGY
  • 3. Definition: “Simulation is the process of designing a model of a real system and conducting experiments with this model for the purpose of either understanding the behavior of the system and/or evaluating various strategies for the operation of the system.” - Introduction to Simulation Using SIMAN (2nd Edition)
  • 4. Allows us to: • Model complex systems in a detailed way • Describe the behavior of systems • Construct theories or hypotheses that account for the observed behavior • Use the model to predict future behavior, that is, the effects that will be produced by changes in the system • Analyze proposed systems
  • 5. Simulation is one of the most widely used techniques in operations research and management science… No longer the approach of “last resort”!
  • 6. What can be simulated? Almost anything can and almost everything has...
  • 7. Applications: • 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.. And the list goes on and on...
  • 8. Advantages to Simulation: Simulation’s greatest strength is its ability to answer “what if” questions...
  • 9. Advantages to Simulation: • Can be used to study existing systems without disrupting the ongoing operations. • Proposed systems can be “tested” before committing resources. • Allows us to control time. • Allows us to identify bottlenecks. • Allows us to gain insight into which variables are most important to system performance.
  • 10. Simulation is not without its drawbacks...
  • 11. Disadvantages to Simulation • Model building is an art as well as a science. The quality of the analysis depends on the quality of the model and the skill of the modeler (Remember: GIGO) • Simulation results are sometimes hard to interpret. • Simulation analysis can be time consuming and expensive. Should not be used when an analytical method would provide for quicker results.