System Simulation for Engineers

simulation; It is a powerful tool for the design, modeling, analysis and optimization of systems and is one of the target technologies of the 21st century. This book is addressed to many different beneficiary groups, especially to engineering program students such as Industry and Mechanical engineering, where Simulation courses are taught, and professionals working in this field. For this reason, each chapter is written in as simple a language as possible and with an application-oriented approach, and is enriched with over 160 solved examples.
In the lecture, solved examples designed in different fields such as engineering, aviation, finance, manufacturing systems, logistics were used.
In the book, statistics and probability theory and distribution functions for deterministic and stochastic processes are summarized before introducing systems modeling. While dealing with discrete event simulation, data collection, measurement, basing the data on a probability distribution function and determining the distribution function parameters, Monte Carlo method were highlighted. The use of the Arena program, which is a special software designed for simulation, is demonstrated.
Laplace-Laplace inverse transforms, which are necessary for Computational Simulation, and modeling of control systems are introduced; The use of Matlab's Simulink plugin used in this area is shown.
This book, in addition to being used as a textbook at undergraduate and graduate level in its field, has been presented to the benefit and appreciation of professionals, students and academicians working in the field of simulation, in the hope that it will fill the gap in copyrighted work.