In this project we propose to develop a mixed integer programming model to treat a lot sizing and scheduling problem in a chemical industry. To solve the problem, MIP- based heuristics as relax-and-fix and fix-and-optimize will be developed. All solution methods will be tested using real data of the industry and generated data. The results will be reported in scientific articles.
News published in Agência FAPESP Newsletter about the scholarship: