Research on Procurement Performance Optimization Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation—A Case Study of Company PY

为提升制造企业采购管理水平，本文以PY公司为研究对象，探讨其在采购绩效管理中的关键问题。通过分析其采购流程、供应商管理，发现存在采购效率低、成本高、供应商选择机制不完善等问题。针对上述问题，本文融合层次分析法(AHP)与模糊综合评价法构建采购绩效评估模型。首先，运用AHP确定影响采购绩效的关键指标体系及其权重；然后，结合模糊综合评价方法对不同供应商进行多维度综合评价，实现主观判断与客观数据的有机结合。研究结果表明，该组合方法可有效提升企业采购决策的合理性，优化供应商管理，显著增强采购绩效。本文的研究不仅为PY公司提供了可行的采购管理优化方案，也为制造企业在复杂决策环境下实施科学的供应链管理提供了理论支持与实践参考。To improve the procurement management level of manufacturing enterprises, this paper takes PY Company as a research object and explores key issues in its procurement performance management. By analyzing its procurement processes and supplier management, problems such as low procurement efficiency, high costs, and an imperfect supplier selection mechanism were identified. To address these issues, this study integrates the Analytic Hierarchy Process (AHP) with the Fuzzy Comprehensive Evaluation Method to construct a procurement performance evaluation model. First, AHP is used to determine the key indicators and their weights affecting procurement performance. Then, the fuzzy comprehensive evaluation method is applied to conduct multi-dimensional evaluations of different suppliers, achieving an organic combination of subjective judgment and objective data. The research results show that this combined method can effectively improve the rationality of procurement decisions, optimize supplier management, and significantly enhance procurement performance. This study not only provides a feasible procurement optimization plan for PY Company but also offers theoretical support and practical reference for manufacturing enterprises to implement scientific supply chain management in complex decision-making environments.