Research on product quality control based on multiagent modeling

Yousong Wu

doi:10.1117/12.3049921

12 November 2024 Research on product quality control based on multiagent modeling

Yousong Wu

Author Affiliations +

Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 133951D (2024) https://doi.org/10.1117/12.3049921
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Yousong Wu "Research on product quality control based on multiagent modeling", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 133951D (12 November 2024); https://doi.org/10.1117/12.3049921

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KEYWORDS

Modeling

Quality control

Systems modeling

Mathematical optimization

Complex systems

Computer simulations

Data modeling

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