AI-Driven Process Optimization in MES: Redefining Manufacturing Efficiency

The integration of Artificial Intelligence with Manufacturing Execution Systems is revolutionizing the industrial landscape, ushering in a new era of smart manufacturing. This comprehensive article explores how AI-enhanced MES transforms traditional manufacturing operations through advanced predictive maintenance, intelligent scheduling, and automated quality control. The article explores the implementation challenges, including data integration and change management, while highlighting successful case studies of smart factory transformation. By exploring the convergence of AI and MES, the article demonstrates how manufacturing facilities achieve significant improvements in operational efficiency, quality control, and resource utilization. The article also explores future directions, including edge computing integration, digital twin technologies, and cross-plant optimization, providing valuable insights for organizations planning their digital transformation journey.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-02-10
DOI
https://doi.org/10.32628/cseit251112239
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
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article

AI-Driven Process Optimization in MES: Redefining Manufacturing Efficiency

Aman Jain
1 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Digital Transformation in Industry
1.24
article

AI-Driven Process Optimization in MES: Redefining Manufacturing Efficiency

Aman Jain
article en
1 citations

Abstract

The integration of Artificial Intelligence with Manufacturing Execution Systems is revolutionizing the industrial landscape, ushering in a new era of smart manufacturing. This comprehensive article explores how AI-enhanced MES transforms traditional manufacturing operations through advanced predictive maintenance, intelligent scheduling, and automated quality control. The article explores the implementation challenges, including data integration and change management, while highlighting successful case studies of smart factory transformation. By exploring the convergence of AI and MES, the article demonstrates how manufacturing facilities achieve significant improvements in operational efficiency, quality control, and resource utilization. The article also explores future directions, including edge computing integration, digital twin technologies, and cross-plant optimization, providing valuable insights for organizations planning their digital transformation journey.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(1)
Amazon (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Digital Transformation in Industry
1.24
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