Limitations of Simulation
- A good simulation model may be very expensive. Simulation often
requires a significant amount of computer time and is therefore expensive.
- Simulation generates a way of evaluating solutions but does not
generate solutions themselves.
- Simulation is not precise. It does not yield an answer but merely
provides a set of the system’s responses to different operating conditions.
In many cases, this lack of precision is difficult to measure.
- It is a trial and error method that may produce different solutions
in repeated runs.
- The difficulty in finding the optimal values increases due to an
increase in the number of parameters.
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| Simulation is a technique
which describes a process by developing a model of that process,
and then performing experiments on the model to predict the behaviour
of the process over time. A simulation model is a simplified representation
of real life situations, which allows the understanding and solution
of a problem to be achieved by a trial and error approach. This
chapter scanned a wide assortment of simulation models. We discussed
typical examples from the area of queuing, inventory, etc. Every
method has certain strengths and limitations. In the end of the
chapter, we listed the limitations of simulation. |
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