With the decrease in purchasing power by consumers, resulting in lower sales, coupled with fierce competition, companies increasingly need to improve their products to stay competitive. One of the segments that suffer most from the fall in consumption is the auto industry, which also faces a more demanding consumer with the quality and safety of the products offered. When it comes to safety, there are still government requirements that the automotive industry needs to reach, thereby, thus it becomes indispensable the search for greater productivity like projects automation and products optimization, one of these products is a set of folded and welded plates, called crashbox, where the front bumper is assembly on it and it has the important function of absorbing the maximum energy due to the frontal vehicle impact, reducing the energy amount that reaches on the vehicle occupants, thus, the aim of this work is to present an automating methodology for the crashbox design with consequent optimization, getting an more efficient and lightness product as possible, thus generating a cost reduction in the product final value.