计算机应用 ›› 2014, Vol. 34 ›› Issue (11): 3258-3263.DOI: 10.11772/j.issn.1001-9081.2014.11.3258

• 人工智能 • 上一篇    下一篇

基于声誉的多时段多属性供应链伙伴选择模型

卢志刚,管未   

  1. 上海海事大学 经济管理学院, 上海 201306
  • 收稿日期:2014-05-26 修回日期:2014-07-10 出版日期:2014-11-01 发布日期:2014-12-01
  • 通讯作者: 卢志刚
  • 作者简介:卢志刚(1973-),男,湖北京山人,教授,博士,主要研究方向:供应链管理、商务智能;管未(1991-),男,江苏苏州人,硕士研究生,主要研究方向:供应链管理、电子商务。
  • 基金资助:

    上海海事大学校基金资助项目;上海海事大学研究生创新基金资助项目

Reputation-based supply chain partner selection model with multi-attribute and multi-period

LU Zhigang,GUAN Wei   

  1. School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China
  • Received:2014-05-26 Revised:2014-07-10 Online:2014-11-01 Published:2014-12-01
  • Contact: LU Zhigang

摘要:

为解决供应链合作过程中伙伴选择信任度低的问题,针对属性权重与时间权重未知的决策情况, 提出了一种基于声誉的多时段多属性供应链伙伴选择模型。模型引入三角模糊数来描述语言类评价信息,分别根据声誉属性间的关联和改进的时间衰减函数确定各时段的属性权重和各时段的时间常权,并将惩罚型变权方法引入模型时间权重设定中,使各时段的时间权重随各时段声誉状态值的变化而变化。算例分析结果表明,该模型有助于优选出声誉在各时段间较为均衡的供应链伙伴,同时具有较强的灵活性,可以适应不同的伙伴选择要求。

Abstract:

In order to solve the low trustiness problem in the supply chain cooperation process, in the decision making condition with unknown attribute and time weights, a reputation-based multi-attribute and multi-period supply chain partner selection model was proposed. Triangular fuzzy numbers were introduced to describe the appraisal information in language categories. Attribute and time weights for each period were determined by the grey correlations among different attributes and an improved time decay function respectively. Punishing variation weight method was introduced in the time weights setting, allowing time weights for each period to vary with the reputation values. The experimental results show that the model is able to select preferable partners whose reputations are well-balanced over different periods. The model has flexibility and can be adapted to different requirements in partner selection.

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