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Performance Evaluation of Auto Parts Suppliers for Collaborative Optimization of Multi-value Chains

  • Liangyan Li
  • Zhanting Wen
  • Dazhi Wang
  • Changyou ZhangEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1042)

Abstract

The performance of auto parts suppliers is becoming an important factor in multi-value chain collaboration. In order to improve the productivity of all links in the auto parts value chain and the competitiveness of the whole value chain, this paper proposes a performance evaluation method for parts suppliers and for the multi-value chain coordination of automobiles. Firstly, from the supplier business data in the auto parts value chain collaboration platform, the relevant description attributes are extracted, and the initial index system of supplier performance evaluation is established. Then, based on the grey system theory and the neighborhood rough set theory, a screening method for the importance of the performance evaluation indexes of auto parts suppliers is designed. Then, the index weights are calculated by the orness measure. Finally, according to the MEOWA idea, the integrated grayscale attribute values. Corresponding weights are used to calculate the comprehensive performance and guide the performance-based accessory supplier optimization. Data from the experimental results on the actual business shows that the supplier evaluation method can correctly reflect the performance of the parts suppliers and provide a quantitative reference for the business synergy of the parts value chain.

Keywords

Multi-value chain Parts supplier Performance evaluation Grey theory Neighborhood rough set 

Notes

Acknowledgment

The author wishes to thank the editor and anonymous referees for their helpful comments and suggested improvements. This paper is supported by The National Key Research and Development Program of China (2017YFB1400902).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Liangyan Li
    • 1
    • 2
  • Zhanting Wen
    • 3
  • Dazhi Wang
    • 4
  • Changyou Zhang
    • 1
    Email author
  1. 1.Laboratory of Parallel Software and Computational Science, Institute of SoftwareChinese Academy of SciencesBeijingPeople’s Republic of China
  2. 2.School of Information Science and TechnologyShijiazhuang Tiedao UniversityShijiazhuangPeople’s Republic of China
  3. 3.China Electronic Science and Technology Network Information Security Co., Ltd.ChengduPeople’s Republic of China
  4. 4.Chengdu Guolong Information Engineering Co., Ltd.ChengduPeople’s Republic of China

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