Author
Listed:
- Siddharth Chandwani
(Integration Manager, LyondellBasell Chemical Company, Houston, TX, USA)
Abstract
One of the biggest technological trends of the 21st century is rapid cloudification of advanced manufacturing. This paper will review the cloud-based applications that are transforming reliability in today's modern manufacturing environments and analyze them in the context of the author's current industry experience in enterprise integration architecture, designing solutions across Microsoft Azure and AWS, and personal experience in large-scale digital transformation programs within the chemical manufacturing sector. The study covers five main technology areas: Cloud Manufacturing Execution Systems (MES); Industrial Internet of Things (IIoT) and edge computing; predictive maintenance platforms with AI and machine learning; digital twin technology; and cloud Enterprise Resource Planning (ERP) with supply chain management. The paper outlines the theoretical underpinning, the deployment status, reliability results, and implementation issues, particularly security, for each domain. The quantitative results include an increase in Overall Equipment Effectiveness (OEE) by 16% with cloud-connected systems, a decrease of 39% in unplanned IT downtime, and improvements in OEE by 5-12 percentage points with the use of a digital twin. The research also shows that manufacturing has been the most cyber-attacked industry in the world for the past four years, which means that reliability improvements must be weighed against new attack vectors. Finally, the paper presents a cloud adoption strategy and research directions.
Suggested Citation
Siddharth Chandwani, 2025.
"Modern Manufacturing Cloud Applications to Improve Reliability,"
Frontiers in Computer Science and Artificial Intelligence, Al-Kindi Center for Research and Development, vol. 4(4), pages 83-94, December.
Handle:
RePEc:alk:fcsai0:v:4:y:2025:i:4:id:12759
DOI: 10.32996/fcsai.2025.4.4.7
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