Mixed integer programming techniques for the scheduling of fuel oil and asphalt production

This paper addresses the development and solution of mixed-integer (MIP) optimization models to a real-world fuel oil and asphalt production scheduling problem at the Petrobras Revap refinery, which is responsible for approximately 80% of all fuel oil consumed in Brazil.

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