Artificial Intelligence and Machine Learning for Sustainable Manufacturing: Current Trends and Future Prospects

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are transforming manufacturing processes, offering unprecedented opportunities to enhance sustainability and environmental stewardship. This comprehensive review analyzes the transformative impact of AI technologies on sustainable manufacturing, focusing on critical applications, including energy optimization, predictive maintenance, waste reduction, and circular economy implementation. Through systematic analysis of current research and industry practices, the study examines both the opportunities and challenges in deploying AI-driven solutions for sustainable manufacturing. The findings provide strategic insights for researchers, industry practitioners, and policymakers working towards intelligent and sustainable manufacturing systems while elucidating emerging trends and future directions in this rapidly evolving field.

Keywords

Artificial intelligence / Machine learning / Sustainable manufacturing / Circular economy / Industry 4.0 / Energy / Waste recycling

Acknowledgements

The authors express their gratitude to the anonymous reviewers for their constructive feedback, which has enhanced the clarity of this manuscript.

Author Contributions

Conceptualization: V.V.K.; Formal Analysis: V.V.K.; Data Curation: V.V.K.; Writing—Original Draft Preparation: V.V.K.; Writing—Review & Editing: V.V.K. & K.S.; Supervision, K.S.

Ethics Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data utilized in this study is available upon request from the corresponding author.

Funding

This research received no external funding.

Declaration of Competing Interests

The authors declare that they have no known competing financial interests or personal relationships that could have influenced the work reported in this paper.

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