Research on simulation and optimization of sealing cover production line based on Integer Programming

Amid the advancing new industrialization strategy, manufacturing enterprises increasingly face the dual pressures of "resource constraints and efficiency enhancement." Achieving coordinated optimization of production efficiency and capacity under limited resource allocation has become a core challenge for industrial development. To precisely improve production line balance rates and address production bottlenecks, this study integrates traditional industrial engineering-based balance methods with mathematical modeling, proposing a practical, scientific optimization scheme. First, based on empirical data, an integer programming model for production line balance is established, with "minimizing workstation count" as the objective function to derive optimal solutions and guide task redistribution across stations. Second, the sealing cover production line of Enterprise B is used as an empirical case, where the scheme is applied and validated using actual production data. Finally, comparative analysis of the line’s operational performance before and after optimization is conducted, with quantitative evaluation of improvement effects. Results show the scheme significantly enhances the target line’s balance rate and production efficiency, providing a practical paradigm for manufacturing enterprises’ production line optimization.