The analysis of the predictive failure emphasizes high loss of loss: Evai survey

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A study by Evai underlines an urgent need for better data integration and predictive tools, especially in view of considerable financial punishments associated with vehicle loss.

“In our conversations with industry experts, we found that the descendants of the equipment not only stop working, but can also lead to considerable financial punishments, and this is something that is completely avoidable,” says Ian Gardner, founder and CEO of CEO von von von von von von Evai. “This realization drove Evai To concentrate on solutions that not only pursue the TCO vehicle, but also prevent costly downtime. By analyzing data from side vehicle systems such as pony engines, we can predict errors before they occur and keep vehicles into operation. “

Most important snack:

• 71% of those surveyed operate fleets with more than 50 vehicles.
• 20%include road construction devices, while others manage the supply company (31%), sanitary (11%) and emergency vehicles (10%).
• 69% say that the total ownership costs (TCO) are extremely or very important for your fleet decision.
• 92% cite obstacles such as inconsistent data acquisition, lack of integration and limited analysis tools.
• 38% still rely on manual spreadsheets. 19% do not pursue TCO at all.
• 41% have taken over the fleet management software, whereby almost 40% of users report measurable improvements in TCO, around 15%.
• Maintenance costs, failure times and fuel consumption are the largest contribution figures for TCO.
• The frequent maintenance problems include engine problems (23%) and transmission problems (28%).
• 59% of the respondents are not sure about the EV transition, although almost half of the electrification considered it promising to reduce TCO.
• Top obstacles include the first vehicle costs (68%) and maintenance and repair problems (13%).