大型复杂产品制造业集群供应链绩效评价模式研究

An Empirical Research of Performance Evaluation Model of Large and Complex Products Manufacturing Cluster Supply Chain

本文在已有文献的基础上,结合大型复杂产品制造业集群供应链的特点,提出了用协同性、可靠性、柔性、质量管理和成本控制等5个潜在变量和16个观测变量来评价供应链绩效;在此基础上,用结构方程建模的方法构建了四种评价大型复杂产品制造业集群供应链绩效的可能模式,即单因素一阶模式,潜变量间互不相关的一阶模式,潜变量间存在相关的一阶模式和二阶模式。由于探索性因素分析方法无法建立一致性的绩效评价构面及其体系,因此本文采用验证性因素分析方法从匹配度和稳定性方面来验证和筛选上述四种可能的供应链绩效评价模式。研究结果表明,二阶验证性因素分析模式与样本数据的拟合程度最佳,是有效且可靠的集群供应链绩效评价模式。

Based on the exiting literatures, this paper proposed 5 latent variables and 16 observed variables, including interoperability, reliability, flexibility, quality management and cost control, to assess supply chain performance, combined with the characteristics of large and complex product manufacturing cluster supply chain. Then, the four possible performance evaluation models of cluster supply chain are built with structural equation modeling method, namely the order modes of the single factor, the order mode of latent variables unrelated, the order mode of latent variables related and second-order model. Because the exploratory factor analysis method cannot establish the consistency of performance evaluation of the dimensions of its system, so the confirmatory factor analysis method validation and filtering from the match and stability of the four possible evaluation modes. The results show that the fit degree between the second-order confirmatory factor analysis model and the sample data is the best, so the second-order confirmatory factor analysis model is an effective and reliable performance evaluation model of cluster supply chain.