Implementation of UPTIME Platform in the MAILLIS Business Case
A short clip introducing UPTIME Predictive Maintenance approach in the use case of MAILLIS, which deals with the cold rolling mill for the production of steel strapping.
Addressed questions, such as: are all of the maintenance activities performed at a certain period of time necessary or can maintenance intervals be expanded in order to eliminate the economic impact? It is of outmost importance for MAILLIS to have their machine or a piece of equipment that can tell its current health status and the degree to which that status deviates from normal or healthy along with predictions about its future health state as well as actions recommendations, as well as the ability for machines to perform self-assessment, on the basis of which decision making can be significantly enabled, will allow improvement on their products’ entire life cycle.
For further details, please visit the MAILLIS Business Case page.
