This paper proposes optimization models to support Production Planning and Control (PPC) decisions in the electrocast grain industry. A case study of a company in the state of São Paulo was conducted aiming to increase its productivity and improve its customer service from the standpoint of meeting delivery dates. To this end, mixed integer linear programming models were applied to aid in production scheduling decisions. The models combine known models of process selection and single-stage lot sizing. Optimizing production scheduling in the electrocast grain industry is not a simple task, especially in terms of the lengthy equipment setup times, the diversity of products and the delivery date constraints. The results indicate that the models can generate better solutions than those found by the company.
production scheduling; lot-sizing; electrocast grains
