SOCIETAL IMPLICATIONS OF CLOUD COMPUTING IN INDUSTRIAL AUTOMATION SYSTEMS

This article examines the transformative impact of cloud computing technologies on industrial automation systems and their broader societal implications.The integration of cloud infrastructure with industrial processes has enabled unprecedented operational capabilities while simultaneously reshaping workforce requirements, economic structures, and environmental sustainability efforts.This article analyzes the technical foundations of cloud-enabled industrial automation, including multi-layered architectures that combine edge devices, local gateways, and centralized cloud platforms to create flexible, scalable control systems.It explores key capabilities facilitated by this technological convergence, including data processing at scale, remote operations and monitoring, enhanced real-time capabilities, and resource optimization.It further investigates the societal dimensions of this transformation, examining workforce evolution, economic restructuring, environmental sustainability benefits, and emerging security considerations.Finally, this article identifies future directions in cloud-based industrial automation, highlighting the increasing integration of artificial intelligence, edge computing, digital twin technology, blockchain, and standardization efforts that will shape the continued evolution of industrial systems.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2025-08-20
DOI
https://doi.org/10.56726/irjmets69659
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

SOCIETAL IMPLICATIONS OF CLOUD COMPUTING IN INDUSTRIAL AUTOMATION SYSTEMS

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International Research Journal of Modernization in Engineering Technology and Science
Digital Transformation in Industry
article

SOCIETAL IMPLICATIONS OF CLOUD COMPUTING IN INDUSTRIAL AUTOMATION SYSTEMS

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Abstract

This article examines the transformative impact of cloud computing technologies on industrial automation systems and their broader societal implications.The integration of cloud infrastructure with industrial processes has enabled unprecedented operational capabilities while simultaneously reshaping workforce requirements, economic structures, and environmental sustainability efforts.This article analyzes the technical foundations of cloud-enabled industrial automation, including multi-layered architectures that combine edge devices, local gateways, and centralized cloud platforms to create flexible, scalable control systems.It explores key capabilities facilitated by this technological convergence, including data processing at scale, remote operations and monitoring, enhanced real-time capabilities, and resource optimization.It further investigates the societal dimensions of this transformation, examining workforce evolution, economic restructuring, environmental sustainability benefits, and emerging security considerations.Finally, this article identifies future directions in cloud-based industrial automation, highlighting the increasing integration of artificial intelligence, edge computing, digital twin technology, blockchain, and standardization efforts that will shape the continued evolution of industrial systems.

International Research Journal of Modernization in Engineering Technology and Science
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Digital Transformation in Industry
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