摘要
港口物流供应商选择是制造企业全球供应链管理的关键环节,决策者的感知不确定性会影响供应商决策绩效。结合结构方程模型(SEM)和数据包络分析(DEA)的特点,提出了一种基于行业偏好的港口物流供应商多维度选择方法——SEM/DEA法。这种方法以大量的行业样本数据为基础,根据行业偏好来确定不同指标维度的权重,可以减小单个决策者感知误差对选择结果的负面影响,提高港口物流供应商选择决策的理性程度。
Port logistics supplier selection is a key link of global supply chain management in man ufacturing enterprises. Decision-maker's perceived uncertainty affects supplier decision performance. By combining the feature of Structural Equation Modeling (SEM) and Data Envelopment Analysis (DEA), this paper proposes a SEM/DEA sions. Based on a large number of industria of different indicators' dimensi impact of single decision-maker gree of port logistics supplier s on 'S s accor method for selecting port logistics supplier in multi-dimen- 1 sample data, this method is used to determine the weights perceived g to industrial preference, which can reduces the negative bias to the result of selection and improves the rational de- elect decision.
出处
《管理学报》
CSSCI
北大核心
2014年第4期605-609,共5页
Chinese Journal of Management
基金
国家社会科学基金资助青年项目(12CJY036)
关键词
港口物流
供应商选择
行业偏好
结构方程模型
数据包络分析
port logistics
supplier selection
industrial preference
structural equation modeling
data envelopment analysis