Production re-sequencing for manufacturing based on discrete event simulation and fuzzy inference

The simulation technique has been used to solve many problems that occur in the production process. Whenever an event occurs, many alternatives (scenarios) can be generated in order to solve the problem. However, as much as the number of scenarios to be simulated becomes higher, the time spent in this process grows, implicating in a difficult task to find a good solution. This work proposes a method using fuzzy logic to select the best scenario in order to do the choice task on an automatic way. Using this method it´s possible to set the new conditions to an automated manufacturing system reorganizing it and reacting automatically if an event occurs.