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Types of Simulation
1) Operational Gaining Method:
This refers to those situations involving conflict of interest among players or decision makers within the framework of a simulated environment. The two most widely used forms of operational gaming are military games and business management games (mostly computer oriented)
2) Monte Carlo Method:
In Monte Carlo simulation the behavior of at least some components of the model are probabilistically determined. It can be used to solve several different classes of problems. The first are problems that involve some kind of stochastic process while the second are deterministic methods.
To carry out a realistic simulation involving probabilistic elements, it is necessary to avoid bias in the selection of the values which vary. This is done by selecting randomly using one of the following methods.
• Random nos. generated by computers• Random no. tables• Variables in a Simulation Model
A business model usually consists of linked series of equations and formulae arranged so that they behave in a similar manner to the real system being investigated.
EOQ mathematical model As costs of ordering and holding stock are equal at the EOQ point, we can build a simple mathematical model to solve the problem, as follows: (Q/ 2) X
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cases with solution..
Prepare two tables showing net profit, residual income and return on investment for each year of the project and also net present value (NPV) for: (i) The BEST OUTCOME; (ii) The
Vogel's Approximation Method (VAM) This method is a heuristic and usually provides a better starting solution than the two methods described above. However, VAM generally yield
Types of Non-Controlled Variables a) Parameters: These are input variables that for a given simulation have a constant value. They are factors which help specify the relat
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