Objective Quantitative Evaluation of Suppliers under the Environmental Collaboration of Green Supply Chain Management - Based on the Super Efficiency DEA Model

被引:0
|
作者
Li, Lin [1 ,2 ]
机构
[1] Hefei Ind Univ, Sch Management, Hefei, Anhui, Peoples R China
[2] Anhui Finance & Trade Vocat Coll, Hefei, Anhui, Peoples R China
来源
EKOLOJI | 2018年 / 27卷 / 106期
关键词
environmental collaboration; green supply chain management; supplier; objective quantitative evaluation; super-efficient DEA model;
D O I
暂无
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The concept of green supply chain management (GSCM) is to integrate environmental thinking into supply chain management. As such, GSCM is important in influencing the total environment impact of any organizations involved in supply chain activities. More importantly, GSCM can contribute to ecological sustainability performance enhancement. In the evaluation system of suppliers, the basic process of supplier selection under the environmental collaboration of green supply chain is put forward from the perspective of environmental impact. This paper proposes an objective quantitative evaluation of suppliers (OQES) based on super efficiency DEA in green supply chain. Meanwhile, a mathematical model is built to comprehensively analyze the evaluation mechanism and malicious attacks. Finally, the experimental results show that: Change of the quantity index of super efficiency DEA model will make the non-malware error gradually attenuate. It can also help enterprises to choose the right suppliers objectively and create a competitive green supply chain system under the new environment of green economy, which is of great practical significance. The research findings will also be important for manufacturing companies in developing environmental collaboration with their suppliers in order to achieve sustainability performance.
引用
收藏
页码:1511 / 1517
页数:7
相关论文
共 50 条
  • [41] Company project management and efficiency evaluation based on the perspective of the supply chain
    Zou Huixia
    Yu Tao
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS I AND II, 2007, : 2672 - 2676
  • [42] A fuzzy logic based decision support system for evaluation of suppliers in supply chain management practices
    Kumar, Darshan
    Singh, Jagdev
    Singh, Om Pal
    Seema
    MATHEMATICAL AND COMPUTER MODELLING, 2013, 58 (11-12) : 1679 - 1695
  • [43] Research on fuzzy evaluation of performance in green supply chain based on environmental economics
    Zhang, Huan
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (03) : 2625 - 2631
  • [44] A fuzzy logic based decision support system for evaluation of suppliers in supply chain management practices
    Kumar, Darshan
    Singh, Jagdev
    Singh, Om Pal
    Seema
    MATHEMATICAL AND COMPUTER MODELLING, 2013, 57 (11-12) : 2945 - 2960
  • [45] A Comprehensive Evaluation of the Potential Value of Suppliers' Cooperation under Green Chain Based on Rough Set
    Cheng Junmo
    Li Xiusen
    Wang Xiaoyuan
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS I AND II, 2008, : 1248 - 1253
  • [46] New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management
    Liou, James J. H.
    Tamosaitiene, Jolanta
    Zavadskas, Edmundas K.
    Tzeng, Gwo-Hshiung
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2016, 54 (01) : 114 - 134
  • [47] Evaluation of China's electric energy efficiency under environmental constraints: A DEA cross efficiency model based on game relationship
    Chen, Wen
    Zhou, Kaile
    Yang, Shanlin
    JOURNAL OF CLEANER PRODUCTION, 2017, 164 : 38 - 44
  • [48] A multi-objective supplier selection model for green supply chain network under uncertainty
    Khalilzadeh, Mohammad
    Derikvand, Hadis
    JOURNAL OF MODELLING IN MANAGEMENT, 2018, 13 (03) : 605 - 625
  • [49] A Multi-objective Robust Optimization Model for Green Supply Chain Design Under Uncertainty
    Sasanian, Mazyar
    Javadian, Nikbakhsh
    Alinezhad, Masoud
    LOGISTICS AND SUPPLY CHAIN MANAGEMENT, LSCM 2020, 2021, 1458 : 279 - 302
  • [50] A new network epsilon-based DEA model for supply chain performance evaluation
    Tavana, Madjid
    Mirzagoltabar, Hadi
    Mirhedayatian, Seyed Mostafa
    Saen, Reza Farzipoor
    Azadi, Majid
    COMPUTERS & INDUSTRIAL ENGINEERING, 2013, 66 (02) : 501 - 513