Industrial maintenance has evolved over the years and is currently undergoing a significant transformation thanks to the advent of smart industrial maintenance, or 4.0. This new approach to managing maintenance in the industrial sector is driven by technology and seeks to optimize processes, reduce costs, and increase operational efficiency.
In this article, we'll explore what smart industrial maintenance, or 4.0, is all about.
Smart Industrial Maintenance, or 4.0, is a new way of managing maintenance processes in industry, leveraging digital technologies and automation. This methodology uses sensors, the Internet of Things (IoT), big data, and advanced analytics to collect real-time data and make informed decisions.
The main objective of smart industrial maintenance is to optimize the management of industrial assets, minimize unscheduled downtime, and reduce maintenance costs. This is achieved through early fault detection, predictive planning, and efficient monitoring of maintenance activities.
Some benefits of smart industrial maintenance are:
Traceability platforms have positioned themselves as an asset that connects mining companies with maintenance providers, thus driving efficient asset management.
With traceability technology, industrial companies can gain a holistic view of their assets, manage components, and generate action plans for process improvement.
According to data from Aisoncore, 60% of the tasks performed during the asset repair management process are related to administrative burden.
This means that 60% of the process presents an opportunity for improvement through the incorporation and support of technology. Through traceability, we can understand every point of this process, turning it into an asset that can be optimized and continuously improved.
Traceability involves generating data at each point in an asset's repair chain, providing quantitative support for decision-making.
The mining industry is lagging behind in terms of digital maturity. According to BCG's Digital Acceleration Index (DAI), this sector is 30% to 40% less digitally mature than comparable industries, such as chemicals or automotive.
However, there is a clear desire for change on the part of companies. Another Digital Maturity study conducted by Accenture in collaboration with the UC Innovation Center reveals that 60% of mining companies already have concrete digitalization plans.
The mining industry is characterized by the intensive use of machinery and equipment, which are subject to constant wear and tear due to extreme working conditions. To ensure safety and operational efficiency, it is essential to implement a well-defined mining asset repair and maintenance workflow .
In this blog post, we'll walk you through the basics of designing an effective repair and maintenance workflow, taking into account industry best practices.
Contact
© 2025 Aisoncore. All rights reserved.