# simulation

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## Simulation

The use of a mathematical model to imitate a situation many times in order to estimate the likelihood of various possible outcomes. See: Monte Carlo simulation.

## Simulation

The use of a mathematical model with different values as variables in order to determine the likelihood of a particular outcome. A simulation is run many times (often thousands) in order to find the most likely outcome. Running simulations is important for analysts who, for example, wish to predict a security's future price movements.

## simulation

A mathematical exercise in which a model of a system is established, then the model's variables are altered to determine the effects on other variables. For example, a financial analyst might construct a model for predicting a stock's market price and then manipulate various determinants of the price including earnings, interest rates, and the inflation rate to determine how each of these changes affects the market price.

## simulation

a technique for dealing with complex resource allocation problems which cannot be solved exactly by LINEAR PROGRAMMING or similar analytical methods. The technique involves creating a typical life history of a system to represent the actual problem and its rules of operation. Repeated runs of the simulation, slightly altering the operating rules each time, provides experimentation aimed at discovering methods of improving the performance of the system. Such simulation techniques are frequently employed in examining STOCKHOLDING and QUEUE problems. For example, in simulating a queue problem, such as cars queuing at a petrol-station forecourt, it is possible to note how well existing service facilities are coping with customers and the extent to which existing service capacity is utilized. It is also possible to investigate the effects of such changes as increasing the number of service channels or changing the arrangement of channels to discover ways of improving the performance of the garage.
Collins Dictionary of Business, 3rd ed. © 2002, 2005 C Pass, B Lowes, A Pendleton, L Chadwick, D O’Reilly and M Afferson
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This section describes the simulation model built to analyze the problem described in the above section.
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Figure 3 illustrates the onset of events in the simulation model on the time axis (t), including--"the last moment" (Tlast moment--a time interval during which the hotel offers room upgrade).

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