工业工程 ›› 2012, Vol. 15 ›› Issue (3): 46-51.

• 专题论述 • 上一篇    下一篇

基于不确定语言信息的物流供应商选择

  

  1. 1. 浙江国际海运职业技术学院 港口管理学院,浙江 舟山 316012;2. 浙江大学 管理学院,浙江 杭州 310058
  • 出版日期:2012-06-30 发布日期:2012-07-21
  • 作者简介:谭狄溪(1978-),男,湖南省人,讲师,硕士,主要研究方向为物流质量管理、供应链管理.
  • 基金资助:

    浙江省哲学社会科学规划课题(10CGGL20YBB)

Supplier Selection Based on Uncertain Linguistic Information

  1. 1. Zhejiang International Maritime College, Zhoushan 316012, China; 2. School of Management, Zhejiang University, Hangzhou 310058, China
  • Online:2012-06-30 Published:2012-07-21

摘要: 为解决传统供应商的选择与评价过程中专家评判的模糊性和不确定性问题,提出了一种基于不确定语言信息的物流服务供应商选择方法。该方法以不确定语言变量来表征专家的评判从而避免了决策信息的丢失。继而建立了物流服务质量评价属性的权重优化模型,并构造拉格朗日函数来求解该模型,得到评价属性的最优权重。接着利用不确定语言加权几何平均(ULWG)算子集结专家评判信息,则得到供应商的优先排序。给出了基于不确定语言信息的供应商选择的算法步骤和应用实例。

关键词: 物流服务, 不确定语言信息, 供应商选择

Abstract: In the existing supplier selection methods, the solution is dependent on the opinions of experts. Thus, it needs to deal with the uncertain and fuzzy judgments made by experts. To solve this problem, based on uncertain linguistic information, a logistic service supplier selection method is put forward in this paper. By this method, uncertain linguistic variables are used to represent experts evaluation information such that the decision information can be preserved. With the uncertain linguistic variables, an attribute weighted optimization model of logistics service quality evaluation is developed. This model is solved by using Lagrange function such that the weights of attributes are determined. Then, by using the uncertain linguistic weighted geometric(ULWG) operator,the expert judgment information is collected such that we can order the candidate suppliers according to the objectives. A case study from a corporation is presented to show the application and the effectiveness of the proposed method.

Key words: logistics services, uncertain linguistic information, supplier selection