Equal to the ski tourism sample above, such indirect effects are often not seen but can have a huge impact of the overall result of sustainability. As you may assume, you will find these kinds of surprises often if you look beyond your own garden.
Energy savings: the underestimated side effects of Predictive Maintenance
Therefore, we left our own garden and discovered new territory: We were looking for possible governmental subsidiaries, funds or benefits for development or application of Predictive Maintenance Solutions. And we discovered that the indirect effects of Predictive Maintenance open the door to governmental support for energy or CO2 savings.
Based on this, we reflected specifically how Predictive Maintenance makes its contribution to drive sustainability based on energy savings:
Energy savings – difficult to count, important to consider
Many of these savings are indirect consequences of Predictive Maintenance and can hardly be quantified. You may review your own spare part inventory or requests for service technicians and contractors to get an idea about the indirect savings.
- How many times in the last 24 months did you call a service technician because of an unplanned breakdown?
- How many spare parts / which spare part value do you have on stock, which haven’t been used in the last 10 years? What’s the value?
- How many times in the last 24 months did you have emergency shipments by airfreight of a spare part?
Predictive Maintenance take away
Besides the obvious benefits of Predictive Maintenance, it is the underestimated indirect impact on energy consumption which makes this technology even more interesting.
Are you ready to start your Predictive Maintenance journey? Find out more about our Predictive Maintenance Solutions here.
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