Frequently Asked Questions
Data-Driven Maintenance and Repair is an approach that uses data analysis and modern technologies to predict failures, reduce costs, and improve equipment performance.
Reduced costs, increased productivity, improved reliability, extended equipment life, and more informed decision-making are among the benefits of this approach.
High implementation costs, lack of expertise, data quality issues, and resistance to change are among the challenges of this approach.
The Internet of Things (IoT), Machine Learning, Artificial Intelligence (AI), and Cloud Computing are among the key technologies in this approach.
In the future, we will see wider use of artificial intelligence, machine learning, and the Internet of Things in maintenance and repair, and systems will become smarter and more predictive.
