Study on Predictive Maintenance carried out by VDMA together with Roland Berger


VDMA, Roland Berger, DMAG

VDMA, Roland Berger, DMAG

The manufacturing industry has clearly understood that predictive maintenance (PM) is a key issue, a precondition for efficient, sustainable service delivery in the future. In 2017, the VDMA Fluid Power Association together with Roland Berger carried out a study on Predictive Maintenance. The study is available for download.

VDMA / Roland Berger Study:
Predictive Maintenance: Servicing tomorrow - and where we are really at today

The manufacturing industry has clearly understood that predictive maintenance (PM) is a key issue, a precondition for efficient, sustainable service delivery in the future. Progress in the technologies required by PM is swift and significant. Yet, there are still gaps in the way data is translated systematically (or not) into (customer) benefits, as well as in implementation in specific business models.

DETAILED ACCOUNT: KEY FINDINGS ON THE STATUS OF PREDICTIVE MAINTENANCE
- Predictive maintenance is a key issue for Germany's engineering sector
- Looking ahead, many companies still find it hard to assess PM's value as a success factor
- General consensus across different industry segments
- Only some companies already have concrete predictive maintenance offerings
- Enhanced performance is seen as the main benefit that predictive maintenance offers to customers

The study is available for download.