Research on Credit Evaluation of Railway Construction Enterprises Based on Hierarchy Grey Model

As railway construction projects increasingly embrace refined management practices, the assessment of creditworthiness among railway construction enterprises has garnered heightened attention from industry regulators. Nonetheless, the practical evaluation process is beset with challenges, including inadequate evaluation index systems, subjective evaluation outcomes, and the absence of robust information technology tools to support the process. To address these issues, this study conducts research on the credit evaluation of railway construction enterprises, encompassing the development of an evaluation index system, the introduction of a credit evaluation methodology grounded in a hierarchy grey model, the design and establishment of a dedicated credit evaluation system for railway construction enterprises, and its subsequent implementation in real-world construction enterprises. The findings indicate that the proposed credit evaluation method is capable of automatically assessing the credit level of construction enterprises based on the scores of evaluation indicators, thereby offering valuable support for the bidding and management of construction projects.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iciba62489.2024.10868329
Primary Topic
Evaluation and Optimization Models
Type
article
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article

Research on Credit Evaluation of Railway Construction Enterprises Based on Hierarchy Grey Model

Beisheng Liu, Yanjun Wei, Xueqiang Wang, Hui Li et al.
Evaluation and Optimization Models
article

Research on Credit Evaluation of Railway Construction Enterprises Based on Hierarchy Grey Model

Beisheng Liu, Yanjun Wei, Xueqiang Wang, Hui Li, Xinyi Zhao, Xiangru Lyu, Sai Gong
article en

Abstract

As railway construction projects increasingly embrace refined management practices, the assessment of creditworthiness among railway construction enterprises has garnered heightened attention from industry regulators. Nonetheless, the practical evaluation process is beset with challenges, including inadequate evaluation index systems, subjective evaluation outcomes, and the absence of robust information technology tools to support the process. To address these issues, this study conducts research on the credit evaluation of railway construction enterprises, encompassing the development of an evaluation index system, the introduction of a credit evaluation methodology grounded in a hierarchy grey model, the design and establishment of a dedicated credit evaluation system for railway construction enterprises, and its subsequent implementation in real-world construction enterprises. The findings indicate that the proposed credit evaluation method is capable of automatically assessing the credit level of construction enterprises based on the scores of evaluation indicators, thereby offering valuable support for the bidding and management of construction projects.

Xidian University (CN), Jingdong (China) (CN), China Academy of Railway Sciences (CN)
Decent work and economic growth
Openalex Percentile: Top 67%
Evaluation and Optimization Models
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