From Preventive Maintenance to Predictive Analytics: Insights into the Evolution of AMS for Physical Assets

This scientific article exposes the evolution of physical asset management software, starting with the Computerized Maintenance Management System (CMMS), which was the first software to be used for physical asset management, providing an overview of maintenance activities. However, the advancement of technology has allowed the development of more comprehensive and complete systems, known as EAM, which integrates all asset management functions, including maintenance, stock management, purchasing and financial management. The benefits of Big Data and IoT technologies in asset management software are also highlighted because through these technologies it is possible to collect and analyze large amounts of data, allowing to identify trends and patterns and, thus, help companies to make informed decisions about the maintenance and management of their assets. IoT, in turn, allows connected devices and sensors to collect real-time data on asset performance, which can help identify problems and prevent failures. Still within the scope of these technologies, two case studies are presented in order to elucidate and highlight the importance of Big Data and IoT in asset management software. In conclusion, this study illuminates the promising future of asset management software, propelled by the ongoing integration of Big Data and IoT technologies. As businesses increasingly acknowledge the potential of these advancements, asset management systems will keep evolving, leading to enhanced decision-making processes, improved asset reliability and increased operational efficiency.