Group 3
SEM4605 Assignment 1 Task 1
Rayhan, Bryann, Jalen, Melvin, Yusheng
Not Appropriate
Advantages of Simulation
When the problem can be solved analytically
Disadvantages of Simulation
When direct experiments are easier
When it can be solved using common sense
When simulation cost > savings
Areas of application
When no data is available
Manufacturing Applications
Requires special training
Mimics real world systems in the design stage
When time/personnel not available to verify and validate model
When time/resources is not available
New information can be explored
Appropriate
When system behavior is too complex
Results difficult to interpret
Simulation & modelling time consuming and expensive
When expectations set are unreasonable
Semiconductor Manufacturing
Construction Engineering
Simulation might still be required as part of some analytical solutions
Military Applications
Logistics, Transportation and Distribution Applications
Business Process Simulations
Testing of new systems without using resources
Human Systems
Able to test for feasibility
Allows for fast testing
Able to see compatibility of variables
A focused analysis is able to show the delayed areas.
Able to infer the relevant variables with respect to the performance
Interested Areas
Provides a systematic understanding on how the system operates as a whole
Allows users to be experimental in the design of new systems by providing data for proof of concept
Study/Experimentation of complex systems and/or subsystems within a system
Study effects of informational, organization, and environmental changes on a model
Gain knowledge of the simulation module to improve the model
To watch changes and gain valuable insights from resulting output based on differing inputs
Used as a teaching device through visual aid
Experiment with new designs or policies before implementation
Verify analytic solutions
Simulating capabilities of a machine to, possibly, determine requirements
Provides learning opportunity isolated from cost or disruption from on-the-job learning
To observe modern systems that are so complex where interactions can only be treated through simulation
Military Application
Modeling leadership effects and recruit type in an Army recruiting station
Design and test of an intelligent controller for autonomous underwater vehicles
Modeling military requirements for nonwarfighting operations
Multi-trajectory performance for varying scenario sizes
Using adaptive agents in U.S. Air Force pilot retention
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