计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (35): 206-208.DOI: 10.3778/j.issn.1002-8331.2008.35.062

• 工程与应用 • 上一篇    下一篇

第三方物流服务提供商的选择研究

胡 健1,史成东1,2   

  1. 1.山东理工大学 电气与电子工程学院,山东 淄博 255049
    2.西安理工大学 工商管理学院,西安 710048
  • 收稿日期:2008-05-08 修回日期:2008-06-16 出版日期:2008-12-11 发布日期:2008-12-11
  • 通讯作者: 胡 健

Selection of Third-Party Logistics service provider

HU Jian1,SHI Cheng-dong1,2   

  1. 1.School of Electric and Electronic Engineering,Shandong University of Technology,Zibo,Shandong 255049,China
    2.School of Business Administration,Xi’an University of Technology,Xi’an 710048,China
  • Received:2008-05-08 Revised:2008-06-16 Online:2008-12-11 Published:2008-12-11
  • Contact: HU Jian

摘要: 在物流外包大发展的趋势下,选择合适的第三方物流服务提供商对成功实施物流外包至关重要。因此,提出一种选择物流服务提供商的综合方法,该方法由两部分组成:(1)物流服务提供商选择指标体系的约简、优化;(2)构造对3PL提供商进行选择的BP智能神经网络。然后,将该方法应用到一个算例进行研究。通过研究验证了该方法的实用性。此外,该方法还可以使决策者更好的了解有关指标之间存在的冗余关系,从而为改善决策的可靠性提供参考。

关键词: 物流外包, 第三方物流, 粗糙集, BP智能神经网络

Abstract: It is very important to select Third-Party Logistics(3PL,TPL) service provider in the outsourcing of logistics.So this article presents a comprehensive methodology for the selection of a logistic service provider.The proposed methodology consists of two parts:(1)Reduction(optimizing) the selection index system.(2)Establishment BP intelligent neural network.Thereafter,the application of the methodology for the final selection of a provider has been demonstrated through an illustrative example.The results of this example show the methodology is practically to select the 3PL service provider.In addition,this approach also enables the decision-makers to better understand the redundant relationships of the relevant index attributes in the decision-making,which may subsequently improve the reliability of the decision.

Key words: logistics outsourcing, Third-Party Logistics(3PL, TPL), rough sets, BP intelligent neural network