Purpose
The Fuel Usage Exception Report is designed to highlight abnormal or suspicious fuel usage across the resources in your fleet.
A fuel period (the time span between two fuel fill-ups) will be flagged as an exception (or outlier) if the type of fuel used, or the fuel economy of the resource, lies outside the range of expected values.
How the report works
When the report is run, all fuel periods from the selected resources that occur within the selected date range are retrieved and analysed.
...
This makes the report responsive to the usage profile and behavior of your fleet. We don't use any predefined values for what the expected fuel economy should be!
Report Example
Exception Examples
| Exception | Example | Explanation | Possible Causes |
|---|---|---|---|
| High litres per km | Expected between 13.11 and 16.61 L/100km for this Resource, but was 18.17 L/100km for this fuel period | The fuel economy for this vehicle was significantly worse than it normally is. |
|
| High litres per engine on hours | Expected between 2.66 and 3.55 L/h for this Resource, but was 3.90 L/h for this fuel period | The engine hours economy for this vehicle was significantly higher than it normally is. |
|
Abnormal fuel type | 98% of the fuel stops for this Resource are for Petrol, but this periods fuel stop was for Diesel | The majority of the fuel card transactions were for Petrol, but this particular transaction was for Diesel. |
|
Low trip count | The resource went on 0 trips for this fuel period | The vehicle did not drive at all within the fuel period, despite the fuel card being used. |
|
Guidelines and tips
Remember, when your run the report, only the fuel periods for the resources you select, occurring within the date range you select, are used for analysis.
...
- Each time the report is run, select only resources that drive or fuel up in a similar manner.
- Perhaps run the report initially for all the heavy trucks, then again later for the white fleet or light vehicles.
- For improved accuracy of results, select the largest time period possible.
- This gives the report more data to work with, in order to determine the typical fuel usage.
- Exclude resources which experience a wide variety of different usage profiles.
- You may find that some fuel periods just slip past the range of expected values.
- Due to the nature of statistics, this will always be the case! Even if the analysis is tweaked to widen the range just a bit.
- Use your own discretion and judgement when acting upon any exceptions found.
- A detailed breakdown of each fuel period for a Resource can be found in the Fuel Period Report.
- You may also find it useful to look at the Trip, Idle and Daily Usage Reports, in order to pin-point the causes of poor fuel economy.
The fine print
The statistical method used to identify outliers is the Inter Quartile Range (IQR), also known as the Inter Quartile Fence.
...