Journal of Engineering, Project, and Production Management, 2025, 15(4), 2025-133
Supplier Selection for Automobile Manufacturing Companies: An Improved Hierarchical Analysis and Intelligent Optimization Algorithm
Lecturer, School of Management, Tieling Normal College, Tieling 112000, Liaoning, China, E-mail: bantnet@163.com
Project Management
Received July 10, 2025; revised September 20, 2025; accepted September 20, 2025
Available online September 20, 2025
Abstract: This paper proposes a scientific and systematic method for supplier selection to address the limitations of traditional approaches, particularly their subjective weight calculations and limited accuracy in comprehensive evaluations. An integrated model combining the improved Analytic Hierarchy Process (AHP) and Particle Swarm Optimization (PSO) is developed. First, the Delphi method defines four key dimensions and indicators. Then, fuzzy logic enhances the objectivity of AHP weight calculations. Finally, PSO is used to optimize supplier selection under complex multi-criteria decision-making scenarios. Using real data from an automobile manufacturer, the model's performance is evaluated. Results demonstrate improvements in both accuracy and efficiency: the enhanced AHP ensures rational weight assignment, while PSO achieves global optimization. The model identifies Suppliers A, C, and E as top performers, confirming its practical utility. This approach offers actionable decision-making support for automotive enterprises and shows potential for transferable transferability to other industries. Limitations include sample size and adaptability issues, indicating a need for future research to incorporate dynamic optimization and larger datasets to enhance robustness and scalability.
Keywords: supplier selection; improved hierarchical analysis; intelligent optimization algorithm; particle swarm optimization algorithm (PSO); automotive manufacturing companies; supply chain management
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Citation: Li, B. (2025). Supplier Selection for Automobile Manufacturing Companies: An Improved Hierarchical Analysis and Intelligent Optimization Algorithm. Journal of Engineering, Project, and Production Management, 15(4), 2025-133.
DOI:
10.32738/JEPPM-2025-133
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