Lean Manufacturing is a methodology that companies from different sectors have implemented for several years, which has given significant results. Although it is a methodology that has been implement-ed since the 70's, it is still in force despite the technological era that has been advancing in recent years. The different Industrial Revolutions have brought with them important advances in terms of technology, always seeking to make life easier for human beings. From Industry 3.0, where we begin to talk about technology and intelligent machines, it has sought to automate processes and replace handmade or manual production in companies. Therefore, one might think that just as companies must adapt to these new trends, methodologies, such as Lean Manufacturing, should also transition to automation or the use of technology for their application. If Industry 3.0 already showed important signs in the advancement of technology, with Industry 4.0 it was confirmed that this technology would be present in our daily lives and in the processes of companies. In fact, in developed countries such as Japan and Germany there is already widespread talk of Industry 5.0, an industry that seeks to return to the human being as an important part of industrial processes, which in Industries 3.0 and 4.0 had passed into the background to give way and greater importance to the use of technology. With the new industrial revolution (5.0) there is even talk of new technologies and tools for improving the production processes of companies. Companies seeking to adapt to the use of technology and seek to continue competing in the market and even seek a better position against the competition must make strong capital investments to acquire the technology necessary for their processes. And those decision-makers need to have a very broad picture and make sure that those investments work and have the expected results. One of the important tools in Industry 5.0 that can help in decision making is simulation. The simulation helps in visualizing how a process works without the need for it to be already implemented in a real way, that is, adjustments and improvements can be made without these implying a change or an investment in the real process. Therefore, we can have data that approximates the data that can throw us a process that is already working physically.If you are looking to analyze data from a process that is already physically implemented, simulation helps determine which part of the process requires improvement or change.