A Decision Model for Selecting Third-Party Reverse Logistics Providers in the Presence of both Dual-Role Factors and Imprecise Data

Abstract

This paper introduces a model for dealing with selecting third-party reverse logistics (3PL) providers in the presence of both dual-role factors and imprecise data. The proposed model is based on data envelopment analysis (DEA). A numerical example demonstrates the application of the proposed method.