Abstract: This study focuses on improving supplier performance management within the Cangzhou honey date industry by integrating the Analytic Hierarchy Process (AHP) and fuzzy evaluation methods. Recognizing the limitations of traditional evaluation systems—such as subjectivity and insufficient quantitative analysis—the research aims to build a comprehensive, data-driven evaluation framework. The methodology involves constructing a supplier performance index system based on five key dimensions: quality, cost, delivery, service, and social responsibility. Using the AHP method, expert opinions are quantified to determine the weight of each indicator. Subsequently, fuzzy evaluation is employed to transform qualitative judgments into numerical scores, enabling more objective assessment. Five major suppliers are evaluated empirically, and statistical methods such as ANOVA and cluster analysis are used to identify performance differences and classify suppliers into performance tiers. The results indicate that Supplier A excels in quality and service, Supplier B leads in delivery performance, while Suppliers C and E require significant improvements. Correlation analysis reveals strong links between supplier performance and key operational metrics such as product defect rates, procurement costs, and customer satisfaction. Based on these findings, the study proposes targeted improvement strategies including the adoption of Six Sigma practices, implementation of VMI and JIT models, and enhanced performance-based incentive mechanisms. The research confirms the effectiveness of combining AHP and fuzzy methods in supplier evaluation and provides actionable insights for improving supply chain efficiency, resilience, and competitiveness. It also suggests that future studies should incorporate larger datasets and intelligent algorithms to refine evaluation accuracy and operational decision-making.

Zhixin Wei. “AHP and Fuzzy Evaluation Methods for Improving Cangzhou Honey Date Supplier Performance Management”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.4 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0160427

@article{Wei2025,
title = {AHP and Fuzzy Evaluation Methods for Improving Cangzhou Honey Date Supplier Performance Management},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160427},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160427},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {4},
author = {Zhixin Wei}
}