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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