the grey comprehensive evaluation model of a third-party reverse ligistics provider selection

被引:2
|
作者
Yin Zhi-hong [1 ]
Lu Qiang [2 ]
机构
[1] Daqing Petr Inst, Sch Econ & Management, Daqing, Peoples R China
[2] Daqing Oilfield Corp Ltd, Oil Recovery Plant Three, Daqing, Peoples R China
关键词
third-party reverse logistics providers; analytical hierarchy process (AHP); grey relational analysis (GRA); grey comprehensive evaluation;
D O I
10.1109/JCAI.2009.61
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the development and advancement of reverse logistics concepts and practice, the evaluation and selection of vendors or partners for the specific function of reverse logistics support becomes more important. This paper firstly analyses the framework of selecting a third-party reverse logistics provider. Next, this paper presents a set of evaluation index system for choosing a third-party reverse logistics provider. A grey comprehensive evaluation model based on analytical hierarchy process and grey relational analysis, is then proposed according to features of uncertainty on quantity, quality, time and place of reverse logistics returns. The final section provides some suggestions for further research. This paper provides the reference model for enterprises to choose third-party reverse logistics providers.
引用
收藏
页码:497 / +
页数:3
相关论文
共 50 条
  • [1] Selection Model for a Third-Party Reverse Logistics Provider
    Yin, Zhihong
    Lu, Qiang
    Cui, Lili
    [J]. EIGHTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I-III, 2009, : 2857 - 2861
  • [2] An intuitionistic fuzzy-grey superiority and inferiority ranking method for third-party reverse logistics provider selection
    Tavana, Madjid
    Zareinejad, Mohsen
    Santos-Arteaga, Francisco J.
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS, 2018, 5 (02) : 175 - 194
  • [3] A grey DEMATEL approach to develop third-party logistics provider selection criteria
    Govindan, Kannan
    Khodaverdi, Roohollah
    Vafadarnikjoo, Amin
    [J]. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2016, 116 (04) : 690 - 722
  • [4] A GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDER
    Ulutas, A.
    [J]. SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, 2021, 32 (01) : 171 - 181
  • [5] Selection of third-party reverse logistics provider using fuzzy extent analysis
    Govindan, Kannan
    Murugesan, P.
    [J]. BENCHMARKING-AN INTERNATIONAL JOURNAL, 2011, 18 (01) : 149 - 167
  • [6] An integrated fuzzy approach for provider evaluation and selection in third-party logistics
    Liu, Hao-Tien
    Wang, Wei-Kai
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) : 4387 - 4398
  • [7] A Hybrid Fuzzy MCDM Approach for Sustainable Third-Party Reverse Logistics Provider Selection
    Tajik, G.
    Azadnia, A. H.
    Ma'aram, Azanizawati
    Hassan, S. A. H. S.
    [J]. MATERIALS, INDUSTRIAL, AND MANUFACTURING ENGINEERING RESEARCH ADVANCES 1.1, 2014, 845 : 521 - 526
  • [8] Hybrid Intelligent Approach for the Selection of Third-Party Reverse Logistics Provider under Uncertainty
    宫艳雪
    宋俊典
    彭亦功
    添玉
    郑树泉
    [J]. Journal of Donghua University(English Edition), 2014, 31 (04) : 484 - 492
  • [9] Power battery third-party reverse logistics provider selection: Fuzzy evidential reasoning
    Zheng, Chaoyu
    Peng, Benhong
    Zhao, Xuan
    Wei, Guo
    Wan, Anxia
    Yue, Mu
    [J]. ENERGY & ENVIRONMENT, 2023,
  • [10] Integrating and extending data and decision tools for sustainable third-party reverse logistics provider selection
    Bai, Chunguang
    Sarkis, Joseph
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2019, 110 : 188 - 207