The technology behind planning.

From operation to model, from model to plan

Planning is more than splitting a list of stops between vehicles. Which vehicle serves which order, with which driver, in which time window and within which capacity limits are all answered together.

Trackinia brings orders, vehicles, drivers, time windows and capacities into one problem definition. The result is a plan with routes, sequence and timing, plus the reasons any task could not be planned.

Mathematical optimization

Vehicle routing is one of the most studied problem families in operations research. Adding constraints such as capacity and time windows makes the problem more realistic and also harder to solve.

Different optimization approaches

There are several methods and open-source solvers for routing problems. Which suits best depends on the problem’s structure and the time limit; no single method is best in every case.

Planning beyond a single day

When deliveries can spread over several days, one day’s decisions affect the load and options of the next. Trackinia can open the planning window to several days.

A sustainable logistics perspective

A shorter route does not always mean lower emissions. Emissions depend on distance, but also on vehicle type, load, fuel, empty return trips and traffic. Reducing distance is therefore a lever that can contribute, not a guarantee.

Cutting unnecessary kilometres, using vehicle capacity sensibly and limiting empty returns are topics where planning can have an effect. Calculating and reporting carbon is a separate discipline whose method is defined by standards such as ISO 14083.

Trackinia does not calculate or report carbon emissions today, and this page makes no emissions-reduction promise.