Research on Evaluation of Auto Parts Suppliers by VIKOR Method Based on Intuitionistic Language Multi-Criteria

Article Preview

Abstract:

This paper, based on the current problems auto parts suppliers are facing and the development trend of auto industry, aims to build up an evaluating system for auto parts suppliers, which includes four indices, namely, service ability, enterprise competence, cooperative ability and ability of sustainable development, by considering comprehensively the high-tech trend of production technology, diversification of customers’ demands, changes in the cooperative relations between vehicle companies and auto parts suppliers as well as the development of information technology. The VIKOR method based on intuitionistic language multi-criteria is applied in this paper for evaluating auto parts suppliers, and the efficiency and practicability of the related evaluating principles and ways are also verified through empirical studies.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

31-35

Citation:

Online since:

February 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Sehmitz, J. &Platts, K. W. Supplier logistics performance measurement: Indication from a study in the automotive industry, International Journal of Production Eeonomics, vol. 3(2004), p: 123-145.

Google Scholar

[2] Svensson, G. Interactive vulnerability in buyer-seller relationships: a dyadic approach, International Journal of Physical Distribution & Logistics Management, vol. 5(2004), p: 1024-1043.

DOI: 10.1108/09600030410557785

Google Scholar

[3] Xiong Shiquan, Yi Shuping, et. al. Automobile Supplier Relationship Management and Evaluation Based on ANP, Journal of Chongqing University (Natural Science Edition), vol. 1(2006), p: 4-7.

Google Scholar

[4] Chen Shi. Evaluation and Selection of Automotive Suppliers in the Supply Chain , Auto Industry Research, vol. 5(2008), p: 31-35.

Google Scholar

[5] Gulfera Isklar, Emre Alptekin,Guldn Buyuksozk. Application of a hybrid intelligent decision support model in logistics outsourcing, Computers & Operations Research, vol. 12(2007), p: 3701-3714.

DOI: 10.1016/j.cor.2006.01.011

Google Scholar

[6] Liu Hongyan,Yan Tao,Wang Guangyuan. Study on bidding evaluation method based on AHP and VIKOR algorithm , Technology Economics, vol. 5(2009), P: 32-34.

Google Scholar

[7] Liu Bin,Zhu Qinghua.A study on suppliers' evaluation index system for green purchasing, Management Review, vol. 9(2008), P: 20-25.

Google Scholar

[8] Liu Feng, Yuan Xuehai. Fuzzy Number Intuitionistic Fuzzy Set, Fuzzy Systems and Mathematics, vol. 1(2007), p: 88-91.

Google Scholar