Predictive Maintenance in Industry 4.0 for SMEs: A Decision Support System Case Study Using Open-Source Software

The article “Predictive Maintenance in Industry 4.0 for SMEs: A Decision Support System Case Study Using Open-Source Software,” co-authored by AISMA in collaboration with the Department of Informatics, Faculty of Economics and Business, University of Zagreb, and the Department of Physics, Faculty of Science, University of Zagreb, demonstrates AISMA’s extensive expertise in the field of predictive maintenance in the context of Industry 4.0.

The article effectively displays AISMA’s deep understanding of predictive maintenance approaches, stressing their use in the Industry 4.0 framework. AISMA has created a unique decision support system that is expertly built to estimate maintenance requirements for machinery and equipment by utilizing data analytics and open-source technologies. This approach demonstrates AISMA’s expertise in personalizing solutions to the specific needs of SMEs (Small and Medium-sized Enterprises), while acknowledging their unique problems and limits.

What distinguishes this article is AISMA’s expert use of Industry 4.0 technology, particularly Internet of Things (IoT) sensors and data analytics. These technologies enable continuous monitoring of machinery, which is crucial in assisting SMEs to remain competitive in the Industry 4.0 age.

The use of open-source software in this context, in particular, highlights AISMA’s capacity to create cost-efficient yet effective solutions. The use of data analytics and machine learning algorithms to predict equipment breakdowns and maintenance needs demonstrates AISMA’s thorough understanding of these technologies.

Furthermore, the collaboration with academic institutions, including the Departments of Informatics and Physics at the University of Zagreb, demonstrates AISMA’s commitment to staying at the forefront of technical breakthroughs. This collaboration enables the incorporation of cutting-edge research into practical applications, demonstrating AISMA’s dedication to staying current in the field.

The real-world case study in this article exemplifies AISMA’s ability to integrate theoretical knowledge into practical, effective solutions. This extensive knowledge makes AISMA an invaluable resource for companies looking to optimize their operations and decrease maintenance costs in today’s industrial world.

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