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A Hybrid Group Search Optimizer with Opposition-Based Learning and Differential Evolution Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Study on Joint Procurement of Auto Parts Business Partner Selection

Authors : Bin Liu, Lengxi Wu, Xiaoyan Luo, Youyuan Wang

Published in: Computational Intelligence and Intelligent Systems

Publisher: Springer Singapore

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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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Literature
1.
Deliang, W., Guanfei, D.: Application of fuzzy comprehensive evaluation method in the automotive parts supplier selection. Acad. Res. 1, 77–78 (2007)
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)
3.
Shi, C.: Evaluation and selection supply chain auto parts suppliers. Auto Ind. Res. 5, 31–35 (2008)MATH
4.
Siyun, C., Yang, Z.: Automotive Components Supplier Selection Method applied research. Commod. Storage Maintenance 8, 132–134 (2008)
5.
Jiazhen, H., Xin, Z.: Study automotive suppliers contingency selection method based on DEA. Bus. Stud. 3, 33–37 (2008)
Metadata
Title
Study on Joint Procurement of Auto Parts Business Partner Selection
Authors
Bin Liu
Lengxi Wu
Xiaoyan Luo
Youyuan Wang
Copyright Year
2016
Publisher
Springer Singapore
Book
Computational Intelligence and Intelligent Systems

Print ISBN: 978-981-10-0355-4

Electronic ISBN: 978-981-10-0356-1

Copyright Year: 2016

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

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