Predictive Fleet Technologies

UTC 2022.08.17 15:53

Fleet Goals

Fleet goals include Safety, Profitability, and Sustainability, among others.

PFT is focused on the following goals that support the above Fleet goals:

fleet_goals_safety

Safety is enhanced by using the component predictors to alert the staff when components near End-of-Life (EoL). Also, driver behavior data is available to promote safe driving. Both of these have fines and other penalties that also affect the Fleet’s profitability.

fleet_goals_profitability

Profitability is affected by increasing revenues and decreasing costs. As long as the Fleet has more customers, revenues can be increased by keeping assets out of the Out of Service (OoS) category and Drivers’ loyalty high. The predictors can help minimize OoS status of assets and drivers less frustrated by having to wait (not accumulating hauls) for the asset to be returned to service.
Increased engine efficiency by using EP and EA to spot lower engine performance and increasing fuel costs and recommending corrective action early on cuts operational expenses.

fleet_goals_environment

Reduced environmental impacts from well maintained engines, tires, etc. reduces fuel costs and also reduces regulated emissions. These results make the public more receptive to trucking, reduce fines from violating regulations and also decrease your operational costs.

fleet_goals_assets

Increased asset useful life allows you to lower investment costs or enable more value on trading with well-maintained vehicles and trailers when you decide to cull your Fleet.

pft_image7
Life of a Vehicle/Trailer

The life of a Vehicle/Trailer consists of the indicated states from ‘purchase’ to ‘cull’. The ‘states’ between  purchase and cull are not sequential, but those near the right tend to ‘grow’ as the age of an asset increases.

The revenue generation consists of ‘dispatch on a job’. Betterments can decrease costs and increase asset value.

‘Asset not employed’ is estimated for single-driver rigs so ‘nights’ and 1 day a weekend  are idle.

Buy the most appropriate equipment: EA provides data to help recommend features and models for purchase based on the requirements of your customer base & highway network.

Keep your assets dispatched on-the-job (minimize OoS) to increase revenue.

Better your operation with new technologies that will save you money! EA has a module to help evaluate new technologies available as Betterments to measure the change expected by implementation on your fleet.

Cull the least productive (including maintenance costs) assets based on EA data.

Expenses per Category Chart

Expenses per Category indicates percentage of expenses (2019 large long haul fleets) average. Dispatch includes Driver  wages & benefits PLUS fuel.

Some categories are very small percentages.

Hours per Year Chart

Hours/year per Category indicates percentage of hours (2019 large long haul fleets) average that a vehicle spends over the lifetime of the vehicle.

With single driver rigs, the assets spend many hours idle at night and weekends.

Unplanned maintenance & repairs tend to increase with age.

pft_image9

Models connect status of Assets with ‘as built’ data, usage data, intervening inspection data, environmental factors, PM, repair and betterments data. The models identify important correlations to help explain deterioration and recovery factors. These correlations are also used in conjunction with asset usage rates to predict ‘End-of-Life’ (EoL) dates for components.

Data is expensive to keep timely, accurate, and complete.

  • We provide much ‘as-new’ data for vehicles, engines, tires and brakes so you don’t need to.
  • Customers identify employees with each person’s role(s) with contact information. These are needed to alert the appropriate person to needed corrective or planned pending action.
  • Periodically, EnginePolygraph provides an engine operational profile (signature) to automatically record engine status (for power units and auxiliary engines) with assessment and diagnostics.
  • The shop provides inspection data and PM, repair and betterment changes.
  • The ECM provides periodic (trip based) performance and usage data with ‘hazard data’ like hard braking, vehicle and engine excess speeding, etc.
  • Dispatch provides rig configuration and driver assignments with routes and schedules. Map data is provided by 3rd parties with PFT supplemental data.
  • On-board telematics provides ‘continual’ vehicle location, speed and bearing with limited engine performance data.

The predictors recalculate the EoL for monitored components. Inspection and repair data adjust the predictors to tailor the models to the experience of the vehicle.

Items in italics are not yet completed.