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Major Reasons:
(i) It is not possible to develop a mathematical model and solutions with out some basic assumptions.
(ii) It may be too costly to actually observe a system.
(iii) Sufficient time may not be available to allow the system to operate for a very long time.
(iv) Actual operation and observation of a real system may be too disruptive.
(i) It is not possible to develop a mathematical model and solutions with out some basic assumptions.
(ii) It may be too costly to actually observe a system.
(iii) Sufficient time may not be available to allow the system to operate for a very long time.
(iv) Actual operation and observation of a real system may be too disruptive.
Basic Steps:
(i) Define the problem or system which we want to simulate.
(ii) Formulate an appropriate model of the given problem.
(iii) Ensure that model represents the real situation/ test the model, compare its behaviour with the behaviour of actual problem environment.
(iv) Identify and collect the data needed to list the model.
(v) Run the simulation
(vi) Analysis the results of the simulation and if desired, change the solution.
(vii) Return and validate the simulation.
(i) Define the problem or system which we want to simulate.
(ii) Formulate an appropriate model of the given problem.
(iii) Ensure that model represents the real situation/ test the model, compare its behaviour with the behaviour of actual problem environment.
(iv) Identify and collect the data needed to list the model.
(v) Run the simulation
(vi) Analysis the results of the simulation and if desired, change the solution.
(vii) Return and validate the simulation.
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