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

被引:2
|
作者
Zhang, Changlu [1 ,2 ]
Tang, Liqian [1 ,2 ]
Zhang, Jian [1 ,2 ]
机构
[1] Beijing Informat Sci & Technol Univ, Sch Econ & Management, Beijing 100192, Peoples R China
[2] Beijing Key Lab Big Data Decis Making Green Dev, Beijing 100192, Peoples R China
关键词
third-party reverse logistics; supplier evaluation; BWM; critical indicators; MCDM; SELECTION; MODEL; AHP;
D O I
10.3390/info14050291
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:22
相关论文
共 50 条
  • [21] The design of vehicle routes for a third-party logistics service provider using the simulated annealing algorithm
    Mohan, M. Raj
    Shahabudeen, P.
    Kannan, G.
    [J]. INTERNATIONAL JOURNAL OF BUSINESS PERFORMANCE MANAGEMENT, 2009, 11 (1-2) : 1 - 18
  • [22] Multiobjective model and solution method for integrated forward and reverse logistics network design for third-party logistics providers
    Lee, Der-Horng
    Bian, Wen
    Dong, Meng
    [J]. TRANSPORTATION RESEARCH RECORD, 2007, (2032) : 43 - 52
  • [23] Research on the choice of the third-party reverse logistics enterprise based on the method of AHP and Goal Programming
    Sheng Xiaohe
    Yang Weiping
    Chen Lihua
    Yang Haiyan
    [J]. MANAGEMENT, MANUFACTURING AND MATERIALS ENGINEERING, PTS 1 AND 2, 2012, 452-453 : 581 - 585
  • [24] A proposed method for third-party reverse logistics partner selection and order allocation in the cellphone industry
    Jauhar, Sunil Kumar
    Amin, Saman Hassanzadeh
    Zolfagharinia, Hossein
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 162
  • [25] Evaluation of critical problems of heavy fuel oil separators on ships by best-worst method
    Bashan, Veysi
    Demirel, Hakan
    Celik, Erkan
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART M-JOURNAL OF ENGINEERING FOR THE MARITIME ENVIRONMENT, 2022, 236 (04) : 868 - 876
  • [26] Selection of Third-Party Reverse Logistics Service Provider Based on Intuitionistic Fuzzy Multi-Criteria Decision Making
    Song, Jiekun
    Jiang, Lina
    Liu, Zhicheng
    Leng, Xueli
    He, Zeguo
    [J]. SYSTEMS, 2022, 10 (05):
  • [27] Performance Evaluation of Third-party Cold Chain Logistics Enterprise Based on A Comprehensive Evaluation Method
    Huang Huijun
    Xu Yawen
    [J]. PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ECONOMICS, FINANCE AND STATISTICS (ICEFS 2017), 2017, 26 : 192 - 199
  • [28] Third-party reverse logistics provider selection approach based on hybrid-information MCDM and cumulative prospect theory
    Li, Yan-Lai
    Ying, Cheng-Shuo
    Chin, Kwai-Sang
    Yang, Hong-Tai
    Xu, Jie
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 195 : 573 - 584
  • [29] A FUZZY DECISION-MAKING APPROACH FOR EVALUATION AND SELECTION OF THIRD PARTY REVERSE LOGISTICS PROVIDER USING FUZZY ARAS
    Rostamzadeh, Reza
    Esmaeili, Ahmad
    Sivilevicius, Henrikas
    Nobard, Hossein Bodaghi Khajeh
    [J]. TRANSPORT, 2020, 35 (06) : 635 - 657
  • [30] Research on Selection of Third-party Reverse Logistics Supplier Based on Fuzzy Analytic Hierarchy Process Method
    Zhou, Zhanfeng
    [J]. ADVANCED MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 472-475 : 3395 - 3398