Modeling can be described as a broad, systematic, and multidisciplinary set of processes that deals with real-life system problems in order to translate the faced problem into a mathematical equation and solve the problem by proposing a tested solution for real-life examples. This mathematical modeling techniques and tools are widely accepted and gained attention from many different perspectives such as academicians, engineers, scientists, and mathematicians, etc. due to their efficiency to solve the problems via presenting a mathematical and logical representation of the related problem and easy applicability to real-world situations and relations. Modeling is a subsidiary discipline that can offer effective solutions to many other methods such as optimization and simulation. A simulation is an evidence-based approach that imitates and animates a model of real-world dynamics. The reason behind using simulation is to straighten out the mechanism dynamics by examining the evidence and trying to predict future behaviors. For this purpose, simulation aims to control the system by revealing the system dynamics by presenting a virtual framework and tries to test the possible scenarios to reach the best outcome for the decision-making process. Therefore, modeling and simulation terms are intertwined concepts that both are used to propose an optimized solution by visualizing the problem.
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