The Cutting Stock Problem consists of determining the best form to cut units
of material (objects in supply stock), producing a set of lesser units
(demanded items), with specific dimensions, that are ordered through an
order. To minimize the loss of material this study described a method of
evaluation and optimization of the process planning of the cutting of
metallic structural tubes used in the manufacturing of small aircrafts for
the agricultural aeronautic industry. To support the decisions in the
cutting process it was developed an optimization approach based on
mathematical mixed integer programming models. The mathematic models are
resolved in GAMS/CPLEX, using the production data of Neiva, an aeronautical
company subsidiary of Embraer. The results showed that it is possible obtain
significant profits in the production in with the application of
mathematical models in the process of cut in the aeronautic industry.
Mathematical models have a potential to generate beneficial solutions in the
production process reducing the costs of production with the re-use of the
leftovers.