Genetic algorithms approaches for the production planning in the glass container industry

This paper applies three genetic algorithms, combined with mathematical programming technique, to solve a production planning problem in the Glass Containers Industry (GCI). The problem to be solved takes into account the scenario where one new furnace and the related machines must be added to the industrial plant. A mathematical formulation is introduced to define objectives and constraints for such problem. The results achieved indicate that the proposed model as well as the genetic algorithms are able to provide good quality solutions for such problem.