Simulation dates back to the 18th century around 1777 by the mathematician Claudio Rocchini Buffon when he posed the needle problem, a simple mathematical method to reach the value of the number ? based on successive attempts. Later, in the 19th century, another mathematician called Pierre Simon Laplace corrected and improved Buffon's solution and since then it has become known as the Buffon-Laplace solution. Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”?Get the original essayA statistician, who later worked at the Arthur Guinness brewery, called William Sealy Gosset, began to apply his statistical knowledge on its agricultural state in terms of brewing. His main interest was in barley crops, which led him to speculate that experiments should not only be aimed at improving the rate of production, but rather at improving stronger strains of barley, capable of surviving harsh climates and conditions. This historic milestone opened the doors for the application of simulation in the field of industrial control processes as well as the synergies generated by simulation based on experimentation and analysis techniques, to discover exact solutions to problems typical of industry and engineering. (Lander)In the 20th century, during World War II, mathematicians Jon Von Neumann and Stanislaw Ulam used simulation when confronted with the problem of neutron behavior while designing and developing a nuclear bomb. hydrogen. This is why they decided to use the roulette technique. In the 1950s, computer simulation was not a very useful tool because it was too time consuming and required a lot of trained personnel. As a result, this was quite expensive in terms of staff and IT time. Keith Douglas Tocher developed a simulation program in 1960 whose main task was to simulate the operation of a production plant where the machines operated in different cycles as follows: In Use, Standby, Unavailable and Fault. This alone changed the status of simulation in the changes that defined the status of crop production. Between the years 1960 and 1961, IBM developed the General Purpose Simulation System (GPSS). GPSS was designed to carry out remote processing simulations, involving for example: urban traffic control, telephone call management, airline ticket reservations, etc. (Lander). Using the system was easier and simple, which made it popular, as the most commonly used simulation language at that time. In 1963, another alternative technology to GPSS called SIMSCRIPT was developed. This was based on FORTAN and was aimed at RAND CORPORATION users who are not necessarily accustomed to computers. The Royal Norwegian Computing Center also added in 1961 to the developments made by RAND and IBM, with the help of Univac, by embarking on the development of the SIMULA program. SIMULA I was the result and became probably the most important language in history. The Winter Simulation Conference (WSC) was founded in 1961 and since then registrations of simulation languages ​​and derived applications have been deposited there. During the 1970s, simulation was a subject taught to industrial engineers but rarely applied. Simulation as a tool, its popularity increases with the number of sessions and conferences. There were two fears about simulation that were common in the early 1980s: Only expectations can use simulation.