The Evaluation of Logistics Enterprise Performance Index Based on TOPSIS-Grey Relational Analysis

Abstract

Performance assessment is a pivotal facet within the operational framework of logistics enterprises, functioning as a mechanism to gauge business outcomes and growth potential. For this study, the authors developed a performance evaluation system for logistics enterprises under the paradigm of sustainable development to reveal the fissures and quandaries within the operational milieu by scrutinizing the current state of logistics enterprises. Drawing on pertinent references and empirical inquiries, they employed the entropy weight method to allocate weights to the performance evaluation metrics of logistics enterprises and TOPSIS–grey relational analysis method to comprehensively assess the performance of such enterprises. Empirical findings show that during the period of 2016–2018, a majority of the sampled logistics enterprises demonstrated an ascending trajectory in their comprehensive proximity, and a minority exhibited fluctuating and descending trends. These findings suggest the favorable trajectory of the evolution of logistics enterprises.