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First, the advantages. Simulations can help in cases where mathematical models are not applicable, because the system to be modeled is either too complex, the system's behavior cannot be expressed by mathematical equations, or the system involves uncertainty, i.e. stochastic elements. In either of these cases, simulation can be applied as a last resort to gain information about the system.

Simulation is especially useful if changes in an existing system are to be made, and the effects of the changes should be tested prior to implementation. Trying out the changes in the real system may not be an option, because the system does not yet exist, the costs are too high, there are too many scenarios to test, the test would take too much time (weeks, months, years), the changes are not legal, etc. In all these cases, a simulation model allows to test various scenarios in often only a couple of minutes or hours.

A disadvantage of simulation in comparison to exact mathematical methods is that simulation cannot naturally be used to find an optimal solution. There are methods which long to optimize the result, but simulation is not inherently an optimization tool. Simulation is often the only means to approach complex systems analysis. Many systems cannot be modeled with mathematical equations. Simulation is then the only way to get information at all.

Another disadvantage is that it can be quite expensive to build a simulation model. First, the process that is to be modeled must be well understood, although a simulation can often help to understand a process better. The most expensive part of creating a simulation model is the collection of data to feed the simulation, and to determine stochastic distributions (e.g. processing times, arrival rates etc.).

Another key point is to ensure the model is valid, i. e. it's behavior mirrors that of the original (physical) system. For systems that don't exist yet, because simulation is used for planning it, this is especially hard. Unsufficient validation and verfication of a simulation model is one of the top reasons for failing simulation projects. The consequence is false results, and this lessens the credibility of the method in general.

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13y ago
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11y ago
ProsThere are two big advantages to performing a simulation rather than actually building the design and testing it. The biggest of these advantages is money. Designing, building, testing, redesigning, rebuilding, retesting,... for anything can be an expensive project. Simulations take the building/rebuilding phase out of the loop by using the model already created in the design phase. Most of the time the simulation testing is cheaper and faster than performing the multiple tests of the design each time. Considering the typical university budget cheaper is usually a very good thing. In the case of an electric thruster the test must be run inside of a vacuum tank. Vacuum tanks are very expensive to buy, run, and maintain. One of the main tests of an electric thruster is the lifetime test, which means that the thruster is running pretty much constantly inside of the vacuum tank for 10,000+ hours. This is pouring money down a drain compared to the price of the simulation.

The second biggest advantage of a simulation is the level of detail that you can get from a simulation. A simulation can give you results that are not experimentally measurable with our current level of technology. Results such as surface interactions on an atomic level, flow at the exit of a micro electric thruster, or molecular flow inside of a star are not measurable by any current devices. A simulation can give these results when problems such as it's too small to measure, the probe is too big and is skewing the results, and any instrument would turn to a gas at those temperatures come into the conversation. You can set the simulation to run for as many time steps you desire and at any level of detail you desire the only restrictions are your imagination, your programming skills, and your CPU.

ConsThere are two big disadvantages to performing a simulation as well. The first of these disadvantages is simulation errors. Any incorrect key stroke has the potential to alter the results of the simulation and give you the wrong results. Also usually we are programming using theories of the way things work not laws and theories are not often 100% correct. Provided that you can get your simulation to give you accurate results you must first run a base line to prove that it works. In order for the simulation to be accepted in the general community you have to take experimental results and simulate them. If the two data sets compare, then any simulation you do of your own design will have some credibility.

The other large disadvantage is the fact that it is a simulation. Many people do not consider what they do engineering unless they can see, hear, feel, and taste the project. If you are designing a light saber a typical engineer needs to be able to hold the light saber in their hand in order to consider the project worth his or her time. If you are capable of moving your craft into the virtual world of simulations you are no longer restricted by little things like reality. If you want to design a light saber in the virtual world it is not a problem, but in reality that is another matter all together. The virtual world is difficult to get use to the first time you use it for design, but after that the sky isn't even your limit.

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10y ago

The advantages of simulation as a teaching method are that more scenarios can be prepared for and it gives one hands on practice. Some disadvantages can be cost and simulation takes more time.

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11y ago

A simulation mimics a real-world situation by representing it with a mathematical model which most of the time is then transformed into a computer model for the purpose of studying the real-world situation under different conditions.

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Q: What is simulation what are its advantages and disadvantages?
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