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Data driven service solutions

By utilizing production data combined with our expertise knowledge of component joining techniques such as tightening, gluing, riveting, etc, Atlas Copco identifies and proactively addresses emerging risks before issues occur. The solutions enable customers to improve quality, uptime and first-time-through production.

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In many industries, maintenance usually follows protocols provided by the equipment manufacturer, where recommendations for maintenance are based on hours of use or some other fixed time interval rather than on predictive analysis. This rules-based approach can be costly for manufacturers in two ways – performing maintenance when it is not needed and missing developments between intervals which could lead to breakdowns or damage of equipment.

We know that...

98%

Manufacturing companies discard 98% of all the data they can collect because they do not have the operational analytics capabilities to integrate that data into their operations

8%

Advanced analytics raised daily production by 5 to 8 percent by allowing managers to schedule and allocate staff and equipment more effectively after predictive analysis

10%

Avoiding unplanned outages can help manufacturers reduce maintenance costs by 5 to 10 percent

Data driven opportunities

The development of data driven services for maintenance, quality and process optimization has reached a level where failures can be predicted well before a problem arises, and potential quality issues detected even though the process has been performing within specification.

The key to successful data driven services is to combine analytical capabilities and domain expertise. This will guarantee development of adequate insight and intelligence to determine the correct recommendation.

The process to derive value from data is generic on a high level and includes four steps