Port logistics supplier selection is a key link of global supply chain management in manufacturing enterprises. Decisionmaker’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 method for selecting port logistics supplier in multidimensions. Based on a large number of industrial sample data, this method is used to determine the weights of different indicators’ dimensions according to industrial preference, which can reduces the negative impact of single decisionmaker’s perceived bias to the result of selection and improves the rational degree of port logistics supplier select decision.
傅海威,曲林迟. 基于行业偏好的港口物流供应商多维度选择方法[J]. J4, 2014, 11(4): 605-.
FU Haiwei,QU Linchi. A Multidimensional Method for Port Logistics Supplier Selection Based on Industrial Preference. J4, 2014, 11(4): 605-.