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Abstract
The rapid advancement of industrial engineering is driven by emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), and sustainable manufacturing practices. These technologies are reshaping modern global supply chains and smart factories, enabling improved operational efficiency, productivity, and environmental sustainability. This paper provides a comprehensive analysis of industrial engineering strategies that integrate AI, ML, and sustainability, highlighting their impact on production efficiency, decision-making, waste reduction, and energy optimization. The study explores key literature published before 2024, discussing major breakthroughs, applications, and challenges in implementing these technologies. The paper also presents various models, flowcharts, graphs, and case studies to illustrate their practical implications. The findings indicate that integrating AI, ML, and sustainability measures significantly enhances manufacturing processes, minimizes costs, and promotes eco-friendly practices. The study concludes with recommendations for future research and industrial adoption.
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