Artificial Intelligence: Pioneering the Future of Sustainable Cutting Tools in Smart Manufacturing

Authors

  • Shahrukh Khan Lodhi Trine University Detroit, Michigan
  • Ibrar Hussain University of Punjab Lahore
  • Ahmad Yousaf Gill American National University 1814 E Main St Salem VA 24153

Keywords:

AI, energy-efficient manufacturing, material selection, process optimization, predictive maintenance, resource management, IoT integration, circular economy, workforce skill shortages, cybersecurity, sophisticated algorithms, eco-friendly materials, and predictive maintenance

Abstract

The integration of Artificial Intelligence (AI) into manufacturing is transforming the industry, offering both significant opportunities and challenges in advancing sustainable practices. This comprehensive review explores the role of AI in sustainable manufacturing, detailing its impact on material selection, process optimization, and energy efficiency. AI enhances manufacturing by automating and optimizing production, enabling predictive maintenance, and improving resource management. However, its implementation faces challenges such as data quality, system integration, workforce skill gaps, and cybersecurity concerns. Future trends highlight the potential of AI-driven innovations, including advanced algorithms, IoT integration, and circular economy models, to drive more sustainable practices and operational efficiencies. By addressing these challenges and leveraging AI's capabilities, manufacturers can achieve significant improvements in sustainability and efficiency, paving the way for a more responsible and eco-friendly industrial future.

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Published

2024-07-29

How to Cite

Shahrukh Khan Lodhi, Ibrar Hussain, & Ahmad Yousaf Gill. (2024). Artificial Intelligence: Pioneering the Future of Sustainable Cutting Tools in Smart Manufacturing. BIN : Bulletin Of Informatics, 2(1), 147–162. Retrieved from https://ojs.jurnalmahasiswa.com/ojs/index.php/bin/article/view/355