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Study on Joint Procurement of Auto Parts Business Partner Selection

  • Conference paper
  • First Online:
Computational Intelligence and Intelligent Systems (ISICA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 575))

  • 1683 Accesses

Abstract

The automotive parts manufacturing companies choose partners in the joint procurement process, when it comes to multi-index heavy weight determination, proposed a combination of objective and subjective weighting method. It reflects both the decision-makers experience information, and reflects the actual reasonable and objective scientific and technical data on the comprehensive evaluation of the results.

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References

  1. Deliang, W., Guanfei, D.: Application of fuzzy comprehensive evaluation method in the automotive parts supplier selection. Acad. Res. 1, 77–78 (2007)

    Google Scholar 

  2. Huang, J., Shuping, Y.: Car companies supplier selection comprehensive evaluation method and its application. Chongqing Technol. Bus. Univ. Nat. Sci. 6, 282–285 (2004)

    Google Scholar 

  3. Shi, C.: Evaluation and selection supply chain auto parts suppliers. Auto Ind. Res. 5, 31–35 (2008)

    MATH  Google Scholar 

  4. Siyun, C., Yang, Z.: Automotive Components Supplier Selection Method applied research. Commod. Storage Maintenance 8, 132–134 (2008)

    Google Scholar 

  5. Jiazhen, H., Xin, Z.: Study automotive suppliers contingency selection method based on DEA. Bus. Stud. 3, 33–37 (2008)

    Google Scholar 

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Acknowledgment

This work was financially supported by the National Science and Technology Support Program (No.2013BAF02B01), Scientific and Technological Support Projects of Jiangxi Province of China (No.20151BBE51064, No.20141BBE53005) and Scientific and Technological Projects of Nanchang City of China (No.2014HZZC005).

Author information

Authors and Affiliations

  1. Jiangxi Institute of Scientific and Technological Information, Nanchang, 330046, JiangXi, China

    Bin Liu & Xiaoyan Luo

  2. Institute of Industrial Engineering, Nanchang Hangkong University, Nanchang, 330063, JiangXi, China

    Lengxi Wu & Youyuan Wang

Authors
  1. Bin Liu
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  2. Lengxi Wu
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  3. Xiaoyan Luo
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  4. Youyuan Wang
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Corresponding author

Correspondence to Bin Liu .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, The South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. School of Computer Science, Guangzhou University, Guangzhou, China

    Jin Li

  3. School of Computer Science and Engineeri, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

  4. Dept. of Informatics, University of Salerno, Fisciano, Italy

    Aniello Castiglione

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© 2016 Springer Science+Business Media Singapore

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Liu, B., Wu, L., Luo, X., Wang, Y. (2016). Study on Joint Procurement of Auto Parts Business Partner Selection. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_68

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  • DOI: https://doi.org/10.1007/978-981-10-0356-1_68

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0355-4

  • Online ISBN: 978-981-10-0356-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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