How to reduce distribution mileage without compromising service
Reducing distribution mileage is not simply a matter of making routes shorter. Good planning must group orders, avoid overlaps, make better use of the fleet and respect schedules, capacities and operational constraints in order to lower costs without compromising service.
Reducing mileage is one of the most common objectives in distribution.
Fewer miles usually mean less fuel, less vehicle wear, fewer driving hours and lower operating costs. But there is an important point: it is not simply about making routes shorter.
A route may cover few miles and still be poor if it misses schedules, loads vehicles badly or causes delays for important customers.
For this reason, the real objective should not be only to reduce mileage, but to reduce mileage while maintaining a feasible plan and a good level of service.
Why unnecessary mileage occurs
In many distribution operations, excess mileage is caused by the accumulation of small inefficiencies.
Common causes include:
- Orders grouped poorly by area.
- Routes built manually with little time available.
- Vehicle capacities used inefficiently.
- Urgent deliveries inserted without reviewing the plan as a whole.
- Customers with time windows that force detours.
- Routes that depend too heavily on the experience of a single person.
- Lack of real data on service or unloading times.
There is often no single major mistake. Instead, many small decisions add up and cause the fleet to travel farther than necessary.
Group orders more effectively
One of the most direct ways to reduce mileage is to improve order grouping.
If orders are assigned to vehicles without considering geographical proximity, several vehicles may cover similar areas or one route may pass through areas already being served by another vehicle.
Grouping by area helps, but it is not always enough.
Planning must also consider schedules, capacities, priorities and service times. Two orders may be close on the map but unsuitable for the same route if their time windows are incompatible.
For this reason, good grouping should not be based on distance alone. It must take the entire operation into account.
Sequence stops correctly
The order of visits can have a major effect on mileage.
Even with the same orders assigned to the same vehicle, a poor sequence can cause unnecessary detours, crossings between areas or backtracking.
Ordering stops by proximity may seem sufficient, but it does not always work. In real distribution, the sequence must also respect delivery schedules, access restrictions, unloading times and priorities.
The route that looks most logical visually is not always the best operationally.
Route optimisation software can evaluate many possible sequences and find combinations that reduce mileage without breaching constraints.
In addition to stop sequencing, it can jointly analyse order allocation between vehicles, capacities, schedules and the overall cost of the plan.
Avoid overlaps between routes
Another common problem is overlap between vehicles.
This occurs when several vehicles cover similar areas or cross one another's routes unnecessarily.
In some cases this may be justified by schedules, capacity or vehicle specialisation. But it is often a sign that planning can be improved.
Reducing overlaps allows each vehicle to cover a more coherent area and helps the fleet operate in a more orderly way.
A route planner for businesses can reduce these overlaps by grouping orders together, assigning them to the most suitable vehicle and balancing distance, capacity, schedules and workload.
The aim is not to divide the map into rigid zones, but to build routes that make geographical and operational sense.
Use vehicle capacity more effectively
Reducing mileage does not depend only on the journey.
It also depends on how the fleet is used.
If some vehicles leave heavily loaded while others are almost empty, the plan may be creating more routes than necessary. If a large vehicle is used for only a few orders, the cost may be excessive. If a vehicle is overloaded, time, access or unloading problems may arise.
Optimisation must seek a balance.
Using capacity well can reduce the number of vehicles required or allow more compact routes. But vehicles should not be filled without considering schedules and working times.
A heavily loaded route may appear efficient but cease to be so if it causes delays or excessively long working days.
Take time windows into account
Time windows can increase mileage if they are not managed correctly.
A customer who only accepts deliveries during a specific period may force the natural sequence of a route to change. If several customers have highly restrictive schedules, planning becomes more difficult.
The key is to integrate time windows from the outset rather than correcting them at the end.
When a route is first designed around distance and then adjusted to fit schedules, detours, waiting times or missed windows often appear.
By contrast, when schedules and distances are optimised together, it is easier to build efficient and feasible routes.
Reducing waiting time also reduces costs
Sometimes the problem is not only mileage, but idle time.
A route may cover a reasonable distance yet accumulate waiting time by arriving too early at certain customers or by coordinating time windows poorly.
Even if mileage does not increase, operating costs may still rise.
The vehicle and driver remain occupied, the working day becomes longer and the capacity to complete additional deliveries is reduced.
For this reason, good optimisation must consider mileage and time at the same time.
Reducing mileage is important, but reducing mileage while increasing waiting time does not always improve the operation.
Measure before making changes
To reduce mileage sustainably, it is necessary to measure performance.
Useful indicators include:
- Total mileage per day.
- Mileage per order.
- Mileage per vehicle.
- Cost per delivery.
- Vehicle utilisation rate.
- Number of routes completed.
- Average time per route.
- Deliveries outside the agreed time.
This data shows where efficiency is being lost and allows the current plan to be compared with optimised alternatives.
Without measurement, it is difficult to know whether a route is genuinely good or simply looks reasonable.
Optimisation is not about cutting at any cost
Mileage should not be reduced at the expense of service quality.
Poor optimisation can create routes that are too tight, excessively long driver shifts, missed schedules or too little capacity to absorb incidents.
The objective should be to find a balance between cost and service quality.
In some cases, travelling a few extra miles may be reasonable if it helps meet a time window, prevent delays or reduce the risk of route failure.
The best plan is not always the shortest. It is the one that delivers the best overall result for the operation.
Conclusion
Reducing distribution mileage requires more than arranging addresses on a map.
Orders must be grouped effectively, overlaps avoided, stops sequenced correctly, vehicle capacity used well and the operation's real constraints respected.
When all these factors are analysed together, costs can be reduced without sacrificing service levels.
Mileage reduction does not depend on a single rule, but on precise planning; this is why LOGISPLAN combines Evolution Algorithms' experience in route optimisation with models adapted to each logistics operation.