Data Analytics for Maintenance
Whatever commodity your business mines, you will be collecting data. Gathering that data and carrying out effective analysis will ensure optimised asset lifecycles.
As the digitization of the world continues with the advent of Industry 4.0, there are more ways to capture data and use it effectively than ever before1.
Targeted data driven insights can eliminate unnecessary processes, assist in reducing premature failures, reduce errors and avoid duplication of efforts. They can also help you predict future events and machine health. In the world of maintenance and repair, data can also allow you to ensure lowest possible operational cost.
Maintenance strategy optimization based on real world data findings can dramatically reduce cost per SMU hour. For example, early component change outs usually accounts a large percentage of an assets lifecycle costs, but optimizing these change outs to accurately reflect the condition can help significantly decrease waste and associated costs. This is true in maintenance, where data allows you to get the most out of parts without replacing them unnecessarily.
Discover the power of data analysis in plant maintenance optimization with BAM. We offer a range of insights and site visits, where experts work with your business, using hard facts and figures to analyze processes, streamline maintenance approaches, as well as recommending products, process changes, and steps that can help streamline your operation.
