期刊文献+

基于AHP-熵权法的物流金融风险模糊综合评价 被引量:3

Fuzzy Comprehensive Evaluation of Logistics Financial Risk Based on AHP-Entropy Weighted Method
下载PDF
导出
摘要 物流金融业务有效地缓解了中小企业资金压力并且拓宽了物流业务模式,为物流企业提供了新的利润增长点,但在运作过程中还存在很大的风险,因此有效地预测、防范风险对于企业减少利益损失至关重要。文章以XX公司为例,通过定性与定量相结合的研究方法,构建影响物流金融风险的预选指标,采用层次分析法和熵权法对指标权重进行组合赋权,运用模糊综合评价法对物流金融风险进行综合评价,以帮助物流企业从全方位的角度防范风险。 Logistics financial business effectively alleviates the capital pressure of small-and medium-sized enterprises,broadens the logistics business modeand provides new profit growth points for logistics enterprises,but there are great risks in the operation process.Therefore,it is quite important to effectively predict and prevent risks for enterprises to reduce the loss of profits.Taking XX company as an example,through the combination of qualitative and quantitative research methods,this paper constructs the indexes that affect the logistics financial risks,and uses fuzzy evaluation method to evaluate the logistics financial risks comprehensively by combiningthe weighted indexes base on AHP and entropy method,so as to help the logistics enterprises to prevent risks from an all-round perspective.
作者 郑连香 Zheng Lianxiang(School of Economics and Management,Sanming University,Sanming 365004,Fujian,China)
出处 《梧州学院学报》 2021年第3期19-27,共9页 Journal of Wuzhou University
关键词 物流 金融风险 AHP-熵权法 模糊综合评价法 Logistics Financial risks AHP-Entropy method Fuzzy Comprehensive evaluation
  • 相关文献

参考文献4

二级参考文献44

  • 1邹小芃,唐元琦.亟待关注的领域:物流金融学[J].科技进步与对策,2004,21(11):163-165. 被引量:43
  • 2曾文琦.关于仓单质押贷款业务的分析与实现研究[J].中国西部科技,2005,4(06B):77-80. 被引量:14
  • 3彭志忠,王水莲.基于委托代理理论的物流金融信任机制研究[J].中国流通经济,2007,21(6):13-15. 被引量:14
  • 4莫静,李俊萍.物流金融风险形成及防范[J].青海金融,2007(7):58-60. 被引量:11
  • 5Badri, H., Bashiri, M., Hejazi, T.H., 2013. Integrated strategic and tactical planning in a supply chain network design with a heuristic solution method. Comput. Oper. Res., 40(4): 1143-1154. [doi: 10. 101 6/j.cor.201 2. I 1.005].
  • 6Correia, I., Melo, T., Saldanha-da-Gama, F., 2013. Comparing classical performance measures for a multi-period, twoechelon supply chain network design problem with sizing decisions. Comput. Ind. Eng., 64(1):366-380. [doi:lO. 1016/j.cie.2012.11.001].
  • 7Das, K., 20 II. Integrating effective flexibility measures into a strategic supply chain planning model. Eur. J. Oper. Res., 211(1): 170-183. [doi: 10.10 16/j.ejor.20 I 0.12.006].
  • 8Feng, Y., Martel, A., D' Amours, S., et al., 2013. Coordinated contract decisions in a make-to-order manufacturing supply chain: a stochastic programming approach. Prod. Oper. Manag., 22(3):642-660. [doi: 10. II I IIj.1937-5956. 2012.01385.x].
  • 9Georgiadis, M.e., Tsiakis, P., Longinidis, P., et al., 2011. Optimal design of supply chain networks under uncertain transient demand variations. Omega, 39(3):254-272. [doi: I 0.1 0l6/j.omega.201 0.07.002].
  • 10Goetschalckx, M., Huang, E., Mital, P., 2013. Trading off supply chain risk and efficiency through supply chain design. Procedia Comput. Sci., 16:658-667. [doi: 10.1016/ j.procs.20 13.01.069].

共引文献19

同被引文献23

引证文献3

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部