Automatic Tour Optimization
The Future of Dispatch

Disponent bei LKW-Tourenoptimierung mit Opheo

Basics of Tour Optimization

Route Optimization is one of the Critical Elements of Truck Dispatching. However, the more complex and multi-layered the Route Planning, the greater the Optimization Potential.

Automating Route Optimization therefore offers a high degree of Improvement. On the one hand, through enormous Time Savings; and on the other hand through improvements in the Quality

of the Planning Results. At the same time, the Automation of Route Optimization creates the perfect framework conditions for a modern and attractive Workplace for your Dispatchers.

How does the Dispatcher Optimize Tours?

The main task of Scheduling is to create an Efficient, Cost-minimizing, and Resource-saving Tour Plan by sensibly allocating and balancing Transport Orders with the available Resources of Vehicles and Drivers.

In Route Optimization, the Dispatcher aims to achieve a step-by-step improvement of the Route Plan by making changes in the original Route Plan. Ideally, the optimization should lead to a Lower Use of Resources, Lower Driving and Wasted Kilometres and, as a consequence, Lower Transport Costs. Due to the abundance of information relevant to Planning and the complexity of the factors to be taken into account, Manual Route Optimization by the Dispatcher is practically impossible to implement.

What factors must be considered?

  • Driving Times and Rest Periods
  • Driver Qualifications
  • Loading Capacities
  • Distance
  • Appointment Commitments
  • Duration of Loading Times
  • Equipment Requirements (e.g. Mobile Lift Truck)

In order to achieve successful resource-saving route optimization, rely on OPHEO’s intelligent Optimisation Algorithms that support Dispatchers very effectively.

This is how Route Optimization works with
OPHEO Optimizer


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Planning goals and restrictions

In order to ensure a commercial optimisation of the route plan on the one hand and its practical feasibility on the other, OPHEO’s route optimisation takes into account the following objectives and restrictions:

  • Minimisation of kilometres
  • Minimisation of driving times
  • Minimisation of schedule violations
  • Compliance with the Smart Planning rules

All OPHEO optimisers use evolutionary algorithms and thus calculate optimised route suggestions fully automatically. The route suggestions can be individually adapted to the customer’s framework conditions with the help of optimisation parameters and the flexible OPHEO rule set. The above objectives can be weighted differently using adjustable parameters. In this way, the user can configure the extent to which he or she is willing to violate an appointment in order to save kilometres.


Mit dem selbstlernenden Algorithmus kann verpackte und lose Ware im Teil- und Komplettladungsverkehr automatisch geplant werden.


The most flexible optimiser is the newly developed ixOptimizer. In addition to depot transports, it can also be used to automatically plan route transports in the area of partial and full loads.

Mathematically, the ixOptimizer is based on a self-learning algorithm developed by Opheo Solutions. This planning procedure, known as “Adaptive Evolutionary Search”, is able to calculate thousands of route plans within a very short time and achieve a step-by-step improvement through individual plan changes. The approach of the dispatcher was deliberately simulated. The optimiser intelligently “remembers” which change steps have led to improvements or deteriorations in the tour plan and prefers changes with a higher probability of success for further steps.


Der spezielle Planungsalgorithmus für das Transportbetongeschäft berücksichtigt die synchronisierte Taktung und sorgt für reibungslose Abläufe auf der Baustelle.


Due to the special framework conditions of the ready-mixed concrete business, special requirements must be taken into account when scheduling truck mixers. In particular, synchronised timing of the individual deliveries must be taken into account in order to ensure smooth processes on the construction site.

With the concreteOptimizer, OPHEO therefore offers a planning algorithm that was developed specifically for the requirements of the ready-mix concrete business. Of course, the concreteOptimizer also takes into account required driver qualifications and vehicle characteristics and enables flexible parameterisation of different planning objectives.


Der Planungsalgorithmus eignet sich idealerweise für das Schüttgut-Geschäft und berücksichtigt Sonderfeatures wie Folgeladungsverbote oder Auftragsteilung.


Due to its algorithm, classicOptimizer is ideally suited for scheduling in the bulk goods sector. Its special features, such as the combination of delivery and disposal, but also order splitting, multi-chamber planning or subsequent loading bans are special requirements that classicOptimizer always takes into account.

Autonomous dispatching with the OPHEO roadEngine

The OPHEO roadEngine extends the route optimisation of OPHEO with an AI component for autonomous truck dispatching. road stands for “rolling automatic dispatching”. Based on the telematics data transmitted from the trucks, the roadEngine automatically recognises when conflicts are imminent, such as violations of deadlines or driving time overruns.

As a reaction, the roadEngine independently reschedules the current route plan with the help of an evolutionary algorithm, which eliminates or minimises the conflicts. The drivers receive the route changes on their telematics devices without the dispatcher having to check alternatives himself or intervene manually.

In this way, OPHEO roadEngine automates the transport management process, enables high productivity increases in dispatching, saves costs and increases the service quality towards customers by minimising conflicts.