Performance Evaluation of Logistics Service Providers Under Uncertain Environment Using a rDANP-U Model.

Due to many unexpected events, international enterprises are facing an increasing supply and demand uncertainty. From the perspective of logistics demands, selecting the appropriate logistics service providers is an important issue. From the perspective of logistics service providers, satisfying customers’ needs in competitive markets is vital. This study focuses on three multinational logistics companies providing services in China, Hong Kong, and Taiwan as case studies for investigating the selection criteria in the context of logistics service providers and for evaluating their performance in an uncertain market. The criteria with a higher total influence and net influence should receive a higher weight than other criteria. However, the existing modified DANP-mV model that integrates the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method, the ANP (Analytic Network Process) method, and the mVIKOR (modified Vlsekriterijumska Optimizacija I Kompromisno Resenje) method often does not follow this logic. This study proposes a new model called rDANP-U (revised DANP with mean group Utility) with the purpose of generating more proper weights for the selection criteria with a higher total influence and net influence. Further on, the mean group utility component derived from the VIKOR method is employed for evaluating the performance of the three chosen logistics service providers operating in an uncertain environment and for providing improvement strategies for them. [ABSTRACT FROM AUTHOR]