基于区间二元语义VIKOR的外包供应商选择模型
作者:
作者单位:

同济大学 经济与管理学院,同济大学 经济与管理学院

作者简介:

通讯作者:

中图分类号:

F27

基金项目:

国家自然科学基金(71402090,71671125)


Outsourcing Supplier Selection Using Interval 2-Tuple Linguistic VIKOR Method
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    在外包战略中,间接成本提升、信息不对称、控制权降低等问题给供应商选择增加了困难。为充分发挥外包优势、降低外包风险,将外包供应商选择准则分为服务质量、价格与成本、沟通与协调以及研发与创新四类,并运用区间二元语义VIKOR模型对外包供应商进行评价及排序。通过算例及比较分析验证了区间二元语义VIKOR模型在外包供应商选择中的优势。结果显示所提出模型不仅有效避免了数据处理过程中信息失真情况,规避了排序结果重复的问题,而且可同时处理定性与定量数据,融入了主客观权重及决策者偏好,从而为企业选择供应商提供了更为理想的方法。

    Abstract:

    It is common that outsourcing strategy causes risks like increase in indirect costs, information asymmetry, and reduction of control. In order to take the advantages of outsourcing strategy and reduce potential risks, supplier selection process plays an important role among each step of the supply chain management. Based on literature review, supplier selection criteria were divided into four categories, namely service quality, price and cost, communication and coordination, and R&D and innovation. And the alternative suppliers evaluation were ranked by using an extended VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method with interval 2-tuple linguistic information. An empirical case study was provided to show the feasibility and practicability of the proposed interval 2-tuple linguistic VIKOR (ITL-VIKOR) method, including comparison with other three commonly used approaches. Results show that the proposed approach is able to handle several data processing problems like information distortion, ranking results repetition, analyzing quantitative and qualitative data at the same time, involving subjective and objective weight, as well as considering preference from decision makers.

    参考文献
    相似文献
    引证文献
引用本文

尤筱玥,尤建新.基于区间二元语义VIKOR的外包供应商选择模型[J].同济大学学报(自然科学版),2017,45(09):1407~

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2017-03-16
  • 最后修改日期:2017-08-09
  • 录用日期:2017-05-18
  • 在线发布日期: 2017-09-25
  • 出版日期:
文章二维码