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Evaluation of Enterprise Green and Digital-Intelligent Development via Coupling Index System

  • Beihang University
  • State Grid Corporation of China

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In the context of the strategic drive for Digital China and green development, modern supply chains are undergoing significant transformations, moving away from traditional paradigms towards green and digital-intelligent frameworks. The current green and digital-intelligent evaluation models of supply chains face significant challenges of inadequate coupling and coordination among multi-dimensional indicators and strong subjectivity. The establishment of an adaptive evaluation model for green and digital-intelligent progress is of paramount importance for enterprises and supply chains alike, as it enables the optimization of resource allocation and business processes. Thus, we have devised an integrated index system comprising core and distinctive indicators, and employed long-term multi-dimensional supply chain data to construct a development evaluation model utilizing the CRITIC-G1 method and Bonferroni mean operator. The empirical analysis of three cable suppliers demonstrate that the evaluation results are consistent with their developmental patterns and characteristics, thereby confirming the comprehensive practicality of the index system and the scientific validity of the evaluation model. This coupling coordinative evaluation framework offers a quantitative basis for the refinement of enterprise development strategies and the delineation of pathways for the enhancement of supply chain quality and efficiency.

源语言英语
主期刊名Proceedings of the 1st Electrical Artificial Intelligence Conference, EAIC 2024
编辑Ronghai Qu, Zhengxiang Song, Zhiming Ding, Gang Mu, Rui Xiong, Li Han
出版商Springer Science and Business Media Deutschland GmbH
368-377
页数10
ISBN(印刷版)9789819640584
DOI
出版状态已出版 - 2025
活动1st Electrical Artificial Intelligence Conference, EAIC 2024 - Nanjing, 中国
期限: 6 12月 20248 12月 2024

出版系列

姓名Lecture Notes in Electrical Engineering
1397 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议1st Electrical Artificial Intelligence Conference, EAIC 2024
国家/地区中国
Nanjing
时期6/12/248/12/24

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