Maintenance 4.0: Optimizing Asset Integrity and Reliability in Modern Manufacturing
Attia Hussien Gomaa
Dr. Attia Hussien Gomaa, Professor, Department of Mechanical Engineering, Faculty of Engineering, Shubra, Benha University, (Cairo), Egypt.
Manuscript received on 20 January 2025 | First Revised Manuscript received on 27 January 2025 | Second Revised Manuscript received on 01 February 2025 | Manuscript Accepted on 15 February 2025 | Manuscript published on 28 February 2025 | PP: 18-26 | Volume-12 Issue-2, February 2025 | Retrieval Number: 100.1/ijies.B109812020225 | DOI: 10.35940/ijies.B1098.12020225
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The reliability of critical assets is essential for operational success and long-term sustainability in modern manufacturing. Asset Integrity Management (AIM) ensures reliability, availability, maintainability, and safety (RAMS) while minimizing risks and costs. Industry 4.0 technologies—such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics—have revolutionized maintenance strategies, enabling real-time monitoring, predictive diagnostics, and data-driven decision-making. These advancements have transformed AIM, optimizing asset performance and operational efficiency. Maintenance 4.0 leverages these technologies to integrate predictive and preventive maintenance, enabling proactive repairs, reducing costly failures, and enhancing equipment reliability and productivity. This paper examines the impact of Maintenance 4.0 on AIM, focusing on the transition from reactive to intelligent, technology-driven maintenance solutions. It highlights the benefits of improved efficiency, optimized maintenance schedules, cost reduction, risk mitigation, and sustainability in the competitive manufacturing sector. Through a comprehensive literature review, this study identifies gaps in aligning traditional maintenance practices with emerging technologies and proposes a framework to address these challenges. By combining advanced digital technologies with established AIM principles, the research offers a strategic roadmap for optimizing asset integrity, achieving operational excellence, and fostering sustainable growth in modern manufacturing.
Keywords: Asset Integrity Management, Maintenance 4.0, Industry 4.0, Artificial Intelligence (AI), Proactive Maintenance.
Scope of the Article: Mechanical Engineering and Applications