大型复杂产品制造业集群供应链绩效评价模式研究

发布时间：2018-03-30 11:39

本文选题：大型复杂产品　切入点：集群供应链　出处：《中国管理科学》2013年06期

【摘要】：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。
[Abstract]:In this paper, based on the existing literature, combined with the characteristics of large-scale complex product manufacturing cluster supply chain, this paper puts forward the use of synergy, reliability, flexibility, On the basis of quality management and cost control, 5 potential variables and 16 observation variables are used to evaluate supply chain performance, and four possible models for evaluating supply chain performance of large and complex manufacturing clusters are constructed by using structural equation modeling method. The first order model of single factor, the first order model of disconnection between latent variables, the first order model and the second order model of correlation among latent variables. The exploratory factor analysis method can not establish consistent performance evaluation surface and its system. Therefore, this paper uses the confirmatory factor analysis method to verify and screen the four possible supply chain performance evaluation models from the aspects of matching degree and stability. The second order confirmatory factor analysis model fits best with the sample data and is an effective and reliable performance evaluation model for cluster supply chain.
【作者单位】：西北工业大学人文与经法学院;
【基金】：国家自然科学基金资助项目(70803040) 教育部人文社科基金资助项目(08JC630065) 教育部留学回国人员科研启动基金资助项目(教外司留[2013]693号) 陕西省自然科学基金资助项目(2011JM9002) 陕西省社会科学基金资助项目(13D024) 西北工业大学人文社科与管理振兴基金资助项目(RW201319)
【分类号】：F274

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