International Journal of Industrial Engineering & Production Management

  Abstract: Analyzing different issues of most systems, particularly their design, implementation, and development, requires some sort of techniques which are capable of studying their special conditions in stochastic states. Simulation is regarded as one of the most efficient methods for this purpose in the area of engineering, systems, and management. Studying and analyzing a system under special, critical, and stochastic conditions is one of the capabilities and advantages of simulation. This unique feature of simulation strongly depends on random numbers. Some of the simulation scientists believe that random numbers act as nuts and bolts of simulation. The more random numbers satisfy randomness criteria, the more effective the model and simulation results would be. In this paper, initially, different random number streams- in a more accurate term pseudo random number streams- will be studied. Then, some of the common and simple methods of random number generation will be elaborated. Obviously, the results show that random numbers which are generated by these simple methods suffer from dispersion. Ultimately we attempt to introduce an enhanced hybrid random number generation method based on a combination of these common methods.