To mitigate the impact of subjective biases and evaluation methodologies on the assessment outcomes of transportation outsourcing service providers, this study focuses on small and medium-sized third-party logistics firms. It employs the Total Rank Difference Test (TRDT) method for evaluating and analyzing service providers. The research begins by synthesizing extant evaluation indices from domestic and international sources to construct a comprehensive evaluation system tailored for third-party logistics service providers. This system encompasses ten primary indices, including safety management, cargo damage compensation, emergency response capabilities, and reputation, along with thirty-three secondary indices. To validate the efficacy of this evaluation system, the study utilizes four prominent evaluation techniques—Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), Fuzzy Comprehensive Evaluation (FCE), and Fuzzy Technique for Order Preference by Similarity to an Ideal Solution (Fuzzy-TOPSIS). It incorporates the entropy weighting method to assign index weights, thereby minimizing subjective influence. A consistency-based evaluation model for third-party logistics service providers is established and subjected to the TRDT to assess the reliability of the four evaluation methods. Lastly, the evaluation model is applied to Topchains, a case study, to test its practical utility in assessing transportation outsourcing service providers. The findings reveal that safety management, cargo damage compensation, support services, emergency response, and cooperation quality are pivotal factors in evaluating transportation outsourcing providers. Furthermore, Fuzzy Comprehensive Evaluation and Analytic Hierarchy Process demonstrate strong consistency, yielding stable and reliable results.
Evaluation and selection of transportation outsourcing service providers: a case of a small and medium-sized third-party logistics enterprise
2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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