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.
Authors
- Beisheng Liu
- Yanjun Wei (ORCID: https://orcid.org/0000-0001-5578-8390)
- Xueqiang Wang
- Hui Li (ORCID: https://orcid.org/0000-0002-5822-2795)
- Xinyi Zhao (ORCID: https://orcid.org/0000-0002-0953-4856)
- Xiangru Lyu
- Sai Gong
Institutions
- Xidian University (CN)
- Jingdong (China) (CN)
- China Academy of Railway Sciences (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iciba62489.2024.10868329
- Primary Topic
- Evaluation and Optimization Models
- Type
- article
- Field-Weighted Citation Impact
- 0.00