Evaluation of the intelligent logistics eco-index: Evidence from China

Abstract

The evaluation of the intelligent logistics eco-index (ILEI) can comprehensively and objectively reflect the development status and the potential problems of the intelligent logistics ecological chain (ILEC). It can provide a reference for the optimization and improvement of the ecological chain. By analyzing and summarizing the relevant literature of the ILEC from 2010 to 2019, this paper constructs an evaluation system that consists of 3 level-1 indicators, 10 level-2 indicators and 24 level-3 indicators. Using the method based on hybrid numerical decision-making to evaluate the ILEI, it takes into account the situation in which the original data contain both interval and fixed-value data, objectively obtains the weight vector by using the improved interval deviation degree and scheme attribute deviation maximization thought, and finally establishes the possibility decision matrix and calculates the ILEI based on the sorting theory of fuzzy complementary judgment matrix. This method has significant advantages over the traditional TOPSIS method. Based on the real case from Qingdao Goodaymart Logistics Company (Goodaymart Logistics), this paper compares the ILEI values among three months in 2019, summarizes the development status, and offers suggestions to Goodaymart Logistics. This study provides an approach for constructing the ILEI to realize an objective evaluation of the development of the ILEC, so as to facilitate the intelligent logistics enterprises in improving the level of ecological development and promoting the healthy development of the ecological chain.