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This text provides a detailed discussion of simulation theory and its applications. It covers current simulation trends, related literature, and the direction of future technologies as well as input modeling, optimization with simulation, continuous simulation, discrete simulation, hybrid simulation, simulation in supply chains and manufacturing, and simulation for multiple disciplines. It also describes various probability distributions required for simulation, random number generation techniques, and explains how to put Microsoft® Excel¿, MATLAB®, and Simulink® to practical use in the simulation process.
This text provides a detailed discussion of simulation theory and its applications. It covers current simulation trends, related literature, and the direction of future technologies as well as input modeling, optimization with simulation, continuous simulation, discrete simulation, hybrid simulation, simulation in supply chains and manufacturing, and simulation for multiple disciplines. It also describes various probability distributions required for simulation, random number generation techniques, and explains how to put Microsoft® Excel¿, MATLAB®, and Simulink® to practical use in the simulation process.
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