An effective performance optimization of industrial parks is urgently needed because of the importance of these parks. To develop a model to optimize the performance of industrial parks from the comprehensive perspectives of economy, society, and environment, the member assessment model was initially constructed to evaluate the comprehensive performance of enterprises. Then the assembly line balance (ALB) model and the mixed integer linear programming (MILP) method were integrated to construct a model (MILP-ALB) for evaluating the optimized comprehensive performance of an industrial park. This model was applied to Yingbin Industrial Park in Harbin, China. Simulation results indicate that the comprehensive performance of enterprises and their interactions determine the comprehensive performance of the industrial park. Results also demonstrate that the MILP-ALB model is applicable in evaluating the optimized comprehensive performance of the industrial park. Furthermore, the model can reveal the effects of the newly introduced enterprise on the optimized performance. Given these results, the model is a useful tool for performance optimization.