Predictive maintenance

Intelligent maintenancelooks ahead.

The current and forward-looking topic of predictive maintenance is omnipresent in the industry. Already today, telematics systems offer numerous applications that give exciting insights into the logistics of tomorrow.

Predictive maintenance

Is the tyre pressure as it should be, and are the brakes working properly? Even seemingly minor details can result in downtime and emerge as veritable drivers of costs. This is precisely where telematics systems such as cargofleet 3 come in, which has been developed by idem telematics and is the market leader with more than 60,000 units on the road. They detect defects early on or signal that wearing parts need to be replaced. This is made possible by sensors that check, for example, tyre pressure, the extent of brake pad wear, or brake caliper malfunctions. If the condition of these and other components is known, failures can be avoided completely and maintenance schedules managed efficiently. It has a positive effect on the cost side, too: optimal tyre pressure reduces both fuel consumption and the risk of blowouts.

Far-sighted road transport

All of the data captured form the basis for automated action recommendations. “Taking maintenance measures only when the problem has occurred has long ceased to be the done thing. Predictive maintenance is already opening up entirely new possibilities. For example, brake disc wear can be projected on the basis of mileage, driving style and gross weight, as a result of the continuous gathering and intelligent analysis of operating data. The ideal maintenance time can be defined and efficiently organised in advance,” confirms Jens Zeller, managing director of idem telematics. Here, data-based optimisation is the solution. The inclusion of vehicle location data via the cargofleet 3 telematics solution also enables maintenance schedules to be integrated directly into route planning.

When spare parts order themselves

When spare parts order themselves

Telematics solutions are of particular interest when the captured data is optimally networked and processed, for example through a direct connection to spare parts procurement. It is conceivable that sensors will be able to report critical wear via cargofleet and thus prompt the system to send an enquiry to the spare parts dealer, check the availability of the spare part according to the location, and then organise an appointment at the nearest workshop. Entirely without a waiting period.

Targeted exploitation of superior knowledge

Telematics applications are changing logistics across the board: on the road and all the way to fleet management. Trucks and trailers are no longer separate entities, but becoming an integral component of the overall organisation because they transmit relevant route data and thereby contribute to more effective fleet control. As a result, the predictive maintenance of commercial vehicles is no longer a future scenario but a reality that is becoming increasingly common, not least because the question of the right maintenance strategy is continually gaining in importance. Studies have shown that predictive maintenance can reduce down-time by as much as 80 percent. Indicators such as this demonstrate that predictive maintenance is set to become a key component of logistics 4.0. At idem telematics, the future of transport is already underway.