Issue |
E3S Web Conf.
Volume 412, 2023
International Conference on Innovation in Modern Applied Science, Environment, Energy and Earth Studies (ICIES’11 2023)
|
|
---|---|---|
Article Number | 01053 | |
Number of page(s) | 17 | |
DOI | https://doi.org/10.1051/e3sconf/202341201053 | |
Published online | 17 August 2023 |
Artificial Intelligence in Green Management and the Rise of Digital Lean for Sustainable Efficiency
Abdelmalek Essaadi University, FSJES of Tetouan, Morocco
Artificial intelligence (AI) is a powerful management technology that offers analyzes and insights superior to those made by humans. It cuts costs and saves time by automating repetitive processes, forecasting customer demand and optimizing supply chains while taking into consideration their impact on sustainability and the environment. Organizations become more efficient through the integration of AI, which increases performance and decision-making. This essay examines the use of AI in management and the advent of digital lean, which combines lean manufacturing with technological innovation. The environmental benefits of AI, including energy efficiency and sustainable manufacturing, are also advocated. To realize the environmental sustainability benefits of AI, issues such as data privacy and scalability, as well as the need for responsible AI cooperation and practices, are highlighted.
Key words: Artificial intelligence / Digital Lean / Digital transformation / Lean management / Management / Sustainability / Supply chain / efficiency
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.