Identifying Critical Indicators in the Evaluation of Third-Party Reverse Logistics Provider Using Best–Worst Method

Author:

Zhang Changlu12,Tang Liqian12,Zhang Jian12ORCID

Affiliation:

1. School of Economic & Management, Beijing Information Science & Technology University, Beijing 100192, China

2. Beijing Key Lab of Big Data Decision Making for Green Development, Beijing 100192, China

Abstract

Evaluation and selection of a third-party reverse logistics provider (3PRLP) is an important tool for enterprises to improve the level of reverse logistics management. The identification of critical indicators plays a crucial role in the evaluation process. Firstly, on the basis of fully considering the characteristics of 3PRLP evaluation and selection, we summarized 27 evaluation indicators from 5 dimensions—overall operation level, management service level, information technology level, social and ecological benefits, and strategic alliance. Secondly, we adopted the Delphi method to determine the formal evaluation index system, and the best–worst method (BWM) to calculate the weight of each indicator. We determined the critical evaluation indicators on the basis of the weights. Finally, based on our results, corresponding countermeasures and implications regarding the process of 3PRLP evaluation were put forward. The research results show that the critical indicators include transportation allocation capacity, network coverage, service price level, service response speed, recovery efficiency, and service flexibility level.

Funder

Project of Cultivation for young top-motch Talents of Beijing Municipal Institutions

Beijing Key Lab of Big Data Decision Making for Green Development

Publisher

MDPI AG

Subject

Information Systems

Reference45 articles.

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