Research on product quality control based on multiagent modeling

This paper explores a new approach to product quality control based on Agent-Based Modeling and Simulation (ABMS). Addressing the limitations of traditional methods in dealing with multi-factor coupling and dynamic changes, this study constructs a multi-agent system model that simulates the impact of factors such as human, machine, material, method, and environment on product quality loss. Utilizing the Netlogo simulation platform, a dynamic analysis is conducted to assess the contribution of each factor to quality loss, offering a fresh perspective on quality control. Additionally, this paper proposes a product structure optimization strategy based on the model, identifying key parameters through sensitivity analysis to provide a scientific basis for performance optimization. This research not only enriches the application of ABMS in the field of quality control but also provides effective tools for quality improvement and structure optimization in actual production, carrying significant theoretical and practical implications.