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author:

Chen, Ke-jia (Chen, Ke-jia.) [1] (Scholars:陈可嘉) | Li, Xuan-nan (Li, Xuan-nan.) [2]

Indexed by:

CPCI-S

Abstract:

Selection of port enterprises logistics service providers is a complex multiple attribute decision-making problem. In order to improve the scientific nature of selection, a set of reasonable decision-making methods of logistics service providers selection are needed to establish. Accordingly, a combination weighting-grey synthetic decision-making method is proposed, which is used to solve the problem of providers selection. Firstly, this method combines the network analysis method with the entropy method to determine combined weights of evaluation indexes. Secondly, the improved center-point triangular whitenization weight function is introduced to cluster alternative plans and judge its corresponding grey classes, and then synthetic weighted decision-making vectors are used to solve grey synthetic decision-making coefficient vectors. Next, grey synthetic clustering decision-making coefficients are calculated to conduct a synthetic decision-making rank of alternative plans. Finally, an empirical study is conducted to verify the effectiveness of the proposed method by taking logistics service providers selection of a port enterprise.

Keyword:

Combination weighting grey synthetic decision-making logistics service providers selection

Community:

  • [ 1 ] [Chen, Ke-jia]Fuzhou Univ, Sch Econ & Management, Fuzhou, Fujian, Peoples R China
  • [ 2 ] [Li, Xuan-nan]Fuzhou Univ, Sch Econ & Management, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

  • 陈可嘉

    [Chen, Ke-jia]Fuzhou Univ, Sch Econ & Management, Fuzhou, Fujian, Peoples R China

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Source :

PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT 2016: THEORY AND APPLICATION OF INDUSTRIAL ENGINEERING

Year: 2017

Page: 1-6

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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