Fuel Delivery Optimization – Dynamic Refueling & Fuel Replenishment Route Planning
Fuel delivery providers face challenges traditional routing algorithms can’t solve. Tankers often exhaust their capacity before completing routes, forcing premature refueling stops, increased fuel consumption, and longer route distances and delivery times. Route4Me’s fuel delivery optimization algorithm solves the complexity of multi-compartment tanker routing while maintaining compliance with safety regulations and maximizing operational efficiency. Dynamic refueling logic decides when and where each tanker returns to a rack, so refueling routes stay compliant and productive. Keep reading to learn more.
Table of Contents
Fuel Delivery And Refueling Optimization Overview
Fuel delivery is inherently complex due to multi-compartment tanker trucks, mixed products, variable drop sizes, terminal constraints, and strict delivery schedules. Our fuel delivery optimization system is built to solve these challenges at scale.
Route4Me automatically applies compartment-constrained routing, accounting for capacity, compatibility, delivery sequencing, gravity-fed versus pump-off constraints, terminal availability, and more. By modeling real-world hauling conditions and applying dynamic refueling logic with configurable thresholds, our system generates optimized refueling routes. This reduces deadhead miles, prevents cross-drops, and lets your vehicles serve more customers per day with fewer trips back to the rack.
Dynamic replenishment refueling means the optimizer chooses each tanker’s refill point during the route rather than fixing it in advance, based on live fill levels, remaining drops, and rack availability. This mid-route refueling decision is what keeps a tanker from running dry three drops short of its last customer.
Plan And Optimize Fuel Delivery Routes With Enterprise TMS
With Route4Me, you don’t have to manually configure complex delivery routing logic. Simply get in touch with one of our routing experts and provide the operational data and business rules for your fuel delivery scenario, and we’ll handle the rest.
Whether you’re optimizing single-day routes, recurring multi-day delivery cycles, or continuous fuel replenishment routing, Route4Me translates your operational constraints into field-ready, safe, compliant, and mathematically optimized routes.
Data And Parameters For Fuel Delivery Optimization
Our system is flexible and supports a wide range of operational data. Companies can optimize routes using as much or as little detail as required, and additional parameters can be introduced at any time. Supported data input types include:
- Vehicle characteristics: capacity, compartment configuration, pump-off capability, product compatibility, vehicle weight and size, etc.
- Fuel product data: fuel types, delivery quantities, minimum and maximum tank thresholds, safety and regulatory constraints, etc.
- Location-level data: depots, terminals, customer sites, underground storage tanks, service time, access restrictions, time windows, etc.
- Business rules: route duration, hours of service breaks and driver shift length, maximum distance between destinations, and more.
Operational parameters such as refueling policies, terminal preferences, and delivery priority can also be applied to fine-tune refueling optimization for your fleet.
Optimized Fuel Delivery Scenarios And Routes
Once your data is optimized, you can see a full breakdown of the optimization scenario. This includes a map showing the locations of company branches, terminal racks available for refills, and customer location drops. When a route loads from more than one terminal, rack-to-rack optimization picks the sequence that keeps product available with the fewest deadhead miles.
You can hover over any location visible on your route optimization map to see its associated company branch, address and coordinates, and customer details such as ID number and planned volume.
Scenarios include routes assigned to your vehicles. You can see the total number of planned delivery locations (not counting refills), customers serviced, planned gallons of fuel for delivery, and route duration and distance. Each route’s total duration is broken down into “Driving” (travel time), and “Working” (service time) values, with totals shown above the respective columns.
Dynamic fill level and capacity utilization graphs provide an accurate visual overview of your vehicle’s capacity utilization and outage at each route destination per fuel type and compartment.
You can hover over any data point in the graph to see more detailed information about the change in fill level at that destination. Refueling at racks and depots are shown in green, and drops at destinations are shown in red. Additionally, you can use the control buttons in the top-right to navigate, zoom, and download your utilization graphs.
Each route is available as a detailed data sheet broken down by destination location types and events. You can see capacity values, utilization, outage and service time broken down by destination and compartment.
Utilization and outage values are shown both as total gallons and as a percentage of each compartment’s total capacity. If you have any questions or need more information about fuel delivery optimization, please contact our routing experts.
Fuel Delivery and Replenishment Optimization Glossary and Terminology
Gas delivery, route planning, and optimization are complex processes with specialized terminology. The table below is a glossary of terms used by field employees, haulers, routing experts, and more.
Fuel Delivery Glossary
Rack
The loading station at a fuel terminal where tankers load product via top arms or bottom hoses.
Bay
A single loading position under the rack assigned to one truck at a time.
Racked Out
Fully loaded with fuel and ready to leave the terminal.
Dead Rack
A fuel terminal where loading is unavailable due to outages, maintenance, or product shortages.
Going Hot
Loading a volatile fuel product such as gasoline rather than diesel.
Back to the Rack
Returning to the terminal mid-route to reload fuel.
Running the Rack
Loading at multiple terminals or racks during a single shift.
Drop
A delivery of fuel to one customer location or set of tanks.
Multi-Drop
A route with multiple delivery stops.
Splash
A small partial delivery used to top off a tank rather than fully refill it.
Pump-Off
Delivering fuel using the truck’s pump instead of gravity, often required for uphill tanks.
The Stick
A calibrated measuring stick used to manually gauge tank levels.
Stick a Tank
Manually measuring a tank’s fuel level before or after delivery.
Clear
Undyed diesel fuel intended for on-road use.
Red
Dyed diesel used for off-road, agricultural, or heating purposes.
Five-Way
A full load where all tanker compartments carry different fuel products.
Compartment Order
The sequence in which tanker compartments are loaded and unloaded, critical for delivery planning.
Cross-Drop
Delivering the wrong fuel product into the wrong tank, typically resulting in severe consequences.
Turn
A complete delivery cycle: load, deliver, and return to terminal.
Double Turn
Two full delivery cycles completed within one shift.
Graveyard
An overnight fuel hauling shift.
Mid-Route Refueling
Refueling the tanker while actively executing a delivery route.
En-Route Refueling
Operational term for refueling during a route rather than at shift start or end.
Splash-and-Go
An informal term for a quick mid-route fuel top-off.
Turn-and-Burn
A fast refuel or reload performed to maintain a tight delivery schedule.
Hot Fueling
Refueling while the vehicle remains running, used only in specific operational contexts.
Dynamic Refueling
Deciding a tanker's refill point during route execution rather than fixing it at planning time, based on current fill level and remaining drops.
Dynamic Replenishment Refueling
Refueling the tanker mid-route at whichever rack or depot keeps the remaining drops feasible, instead of returning to a predetermined terminal.
Refueling Optimization
Planning when, where, and how much a tanker reloads so the route completes with the fewest trips back to the rack.
Refueling Routing
Route planning that treats tanker refueling stops as optimizable destinations rather than fixed start and end points.
Load-to-Drop Matching
The optimization process of aligning compartment contents with delivery order to minimize pump-offs and crossovers.
Compartment-Constrained Routing
Route planning that accounts for individual tanker compartment sizes and product types.
Product Compatibility Constraint
A routing rule preventing incompatible fuel products from being sequenced in ways that risk contamination.
Drop Sequencing
Optimizing the order of deliveries to align with compartment order and gravity flow.
Gravity-First Optimization
Planning drops so gravity-fed deliveries occur before pump-offs to save time and wear.
Tank Capacity Constraint
Ensuring delivered volume does not exceed underground tank capacity based on stick readings or telemetry.
Minimum Drop Threshold
A rule defining the smallest allowable delivery volume for a stop.
Splash Optimization
Strategically planning partial deliveries to prevent run-outs without overcommitting product.
Run-Out Risk Scoring
A predictive metric estimating how close a customer is to running out of fuel.
Priority Drop
A delivery flagged as urgent due to low tank levels or contractual obligations.
Deadhead Minimization
Reducing empty miles traveled between drops or back to the rack.
Rack-to-Rack Optimization
Planning routes that involve loading from multiple terminals to improve product availability or reduce distance.
Turn Compression
Optimizing schedules to fit more turns into a single shift.
Double-Turn Feasibility Window
The time window in which two full turns can be completed without violating hours-of-service limits.
Terminal Dwell Time
The expected time spent waiting, loading, and staging at a rack.
Bay Availability Constraint
Routing logic that accounts for limited loading bays at terminals.
Hot Load Constraint
Special handling rules applied when loading volatile products like gasoline.
Tank Telemetry Integration
Using live tank level data to dynamically adjust routes and drop quantities.
Forecast-Based Routing
Using historical consumption data to predict future fuel needs and pre-plan routes.
Consumption Curve
The modeled fuel usage pattern of a customer over time.
Multi-Frequency Scheduling
Planning routes where customers require deliveries on different recurring intervals.
Scenario Planning
Simulating alternative routing outcomes before committing loads to trucks.
Optimization Period
The time horizon over which routes are planned and balanced.
Stop Density Balancing
Distributing drops evenly across routes to avoid overload.
Miles-Per-Gallon Optimization
Balancing route efficiency with vehicle fuel consumption characteristics.
Service Time Normalization
Standardizing expected delivery times per stop for accurate routing.
Constraint Relaxation
Temporarily easing optimization rules to resolve infeasible routes.
Exception-Based Reoptimization
Automatically recalculating routes after disruptions like dead racks or late loads.
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About author: Kristian Andreev
