Development trends of large language models and their applications in green digital intelligence of supply chains

In recent years, large language models (LLM) have developed rapidly and been widely used in the field of natural language processing, and have made significant progress and been widely used in both academia and industry. Large language models have also shown great potential in promoting the green digital intelligence of the supply chain. The development of language models provides technical support for the green digital intelligence of the supply chain. The model's text analysis capabilities can help companies analyze information such as suppliers' renewable energy usage, carbon footprint, environmental and social responsibility reports, and thus make more informed sourcing and supplier selection decisions. At the same time, the large language model can analyze supply chain data, provide suggestions and optimization plans for energy conservation and emission reduction, predict and manage environmental risks, and promote enterprises to transform into a more sustainable and environmentally friendly supply chain.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3708036.3708165
Citations
3
Primary Topic
Mathematical Control Systems and Analysis
Type
article
Field-Weighted Citation Impact
1.04
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article

Development trends of large language models and their applications in green digital intelligence of supply chains

Qian Zhong, Yiling Jiang, Wanqiu Deng, Ling Huang
3 citations
Mathematical Control Systems and Analysis
1.04
article

Development trends of large language models and their applications in green digital intelligence of supply chains

Qian Zhong, Yiling Jiang, Wanqiu Deng, Ling Huang
article en
3 citations

Abstract

In recent years, large language models (LLM) have developed rapidly and been widely used in the field of natural language processing, and have made significant progress and been widely used in both academia and industry. Large language models have also shown great potential in promoting the green digital intelligence of the supply chain. The development of language models provides technical support for the green digital intelligence of the supply chain. The model's text analysis capabilities can help companies analyze information such as suppliers' renewable energy usage, carbon footprint, environmental and social responsibility reports, and thus make more informed sourcing and supplier selection decisions. At the same time, the large language model can analyze supply chain data, provide suggestions and optimization plans for energy conservation and emission reduction, predict and manage environmental risks, and promote enterprises to transform into a more sustainable and environmentally friendly supply chain.

Southwestern University of Finance and Economics (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Mathematical Control Systems and Analysis
1.04
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Development trends of large language models and their applications in green digital intelligence of supply chains — Qian Zhong, Yiling Jiang, et al. · (2024) | TGRS Research Map | TGRS