Use Artificial Intelligence into Facility Design and Layout Planning Work in Manufacturing Facility

The integration of artificial intelligence (AI) into facility design and layout planning has revolutionized manufacturing by enhancing precision, efficiency, and adaptability. Traditional facility planning methods, reliant on static, rule-based approaches, are increasingly being replaced by AI-driven solutions that optimize spatial arrangements, improve workflow, and balance human-machine interactions. This paper explores the application of AI tools such as Process Planning AI, AutoCAD AI, and Space & Machine Design AI in manufacturing facility design. These technologies leverage predictive modeling, real-time analytics, and generative design to optimize process planning, enhance production layouts, and facilitate adaptive decision-making. Additionally, AI-driven simulations and digital modeling enable manufacturers to anticipate design challenges, reduce bottlenecks, and maximize resource utilization. As AI adoption grows, its role in smart factories and dynamic production environments continues to evolve, fostering a more data-driven, efficient, and automated approach to facility layout and design.

Authors

Publication Details

Journal
European Journal of Artificial Intelligence and Machine Learning
Published
2025-04-19
DOI
https://doi.org/10.24018/ejai.2025.4.2.56
Citations
13
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
16.15
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article

Use Artificial Intelligence into Facility Design and Layout Planning Work in Manufacturing Facility

Sai Dhiresh Kilari
13 citations
European Journal of Artificial Intelligence and Machine Learning
Advanced Manufacturing and Logistics Optimization
16.15
article

Use Artificial Intelligence into Facility Design and Layout Planning Work in Manufacturing Facility

Sai Dhiresh Kilari
article en
13 citations

Abstract

The integration of artificial intelligence (AI) into facility design and layout planning has revolutionized manufacturing by enhancing precision, efficiency, and adaptability. Traditional facility planning methods, reliant on static, rule-based approaches, are increasingly being replaced by AI-driven solutions that optimize spatial arrangements, improve workflow, and balance human-machine interactions. This paper explores the application of AI tools such as Process Planning AI, AutoCAD AI, and Space & Machine Design AI in manufacturing facility design. These technologies leverage predictive modeling, real-time analytics, and generative design to optimize process planning, enhance production layouts, and facilitate adaptive decision-making. Additionally, AI-driven simulations and digital modeling enable manufacturers to anticipate design challenges, reduce bottlenecks, and maximize resource utilization. As AI adoption grows, its role in smart factories and dynamic production environments continues to evolve, fostering a more data-driven, efficient, and automated approach to facility layout and design.

European Journal of Artificial Intelligence and Machine LearningVol. 4(2)
Openalex Percentile: Top 1%
Advanced Manufacturing and Logistics Optimization
16.15
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