This paper presents a Model Predictive Control (MPC) strategy to optimize container and press operations in a waste sorting plant. To overcome the inherent complexity of the original integer programming problem, a simplified optimization method was developed. By analyzing the structure of the control action, the problem was reduced to optimizing only the press waiting time, dramatically decreasing optimization complexity. Validation across ten realistic scenarios showed a 13.2% efficiency improvement over the standard Optimal Analytic Procedure (OAP) and complete prevention of overflow. This work demonstrates how structural simplification in MPC can enhance operational reliability and efficiency in waste sorting systems.