Nonlinear Optimal Production Scheduling Model for Refineries

The refinery production scheduling process is influenced by various uncertain factors, including market demand. This paper introduces energy consumption and inventory constraints into the concept of an integrated supply chain to develop a nonlinear programming optimization model for refinery production and inventory management. The objective is to maximize the refinery's profit by optimizing the production output of each device (decision variables). In cases where constraints in complex systems may conflict and result in no feasible solution, this paper employs the least squares method to address such issues. The effectiveness of the proposed model and algorithm has been validated.