Published 20-12-2023
Keywords
- Sustainability,
- U.S. Manufacturing,
- Supply Chains
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
AI has emerged as a promising tool for addressing sustainability challenges in manufacturing supply chains. The integration of AI technologies, such as machine learning and data analytics, holds the potential to optimize various components of the supply chain, including planning, sourcing, manufacturing, warehousing, distribution, and customer interface. [1] emphasizes that AI algorithms excel in leveraging large datasets from diverse sources, enabling machines to derive unique insights and perform tasks more efficiently than humans. This aligns with the scalability of AI within modern supply chains, which generate substantial volumes of data and operate within a network-based architecture. Furthermore, [2] highlight that the costs associated with AI applications in manufacturing should be viewed as long-term investments that promote environmental sustainability.
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References
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