Abstract
This research introduces a new approach of using Failure Mode and Effect Analysis (FMEA) and Genetic Algorithm to improvement of manufacturing process – welding process. FMEA analysis is used to measure the weight of failures by calculating the Risk Priority Number (RPN) value for welding process. By FMEA we have identified precisely the main causes which lead to the appearance of many failures for which the RPN value is highest. Then we have established the parameters which are directly responsible of these causes. By using these parameters we have got a function that actually has to be improved optimized. This is going to be the objective function for the Genetic Algorithm.
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