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

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.

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