Case study
Implantación en ALSA
ALSA chooses LOGISPLAN to digitalise its logistics planning
ALSA implements LOGISPLAN to improve the efficiency of its bus service distribution operations.
In the field of scheduled and charter bus services, ALSA has launched an operational improvement project based on LOGISPLAN, Evolution Algorithms' solution for automated route planning.
The initiative aims to optimise distribution, minimise unproductive mileage and strengthen control over vehicles, drivers and services.
A growing route-planning challenge
Faced with an increasingly demanding operating environment, ALSA identified an opportunity to modernise route planning and the allocation of vehicles and drivers.
Growth in activity, operational complexity and the need to meet schedules, restrictions and service requirements made it essential to have an advanced tool capable of automating and optimising logistics planning.
The main challenges identified included:
- Coordinating vehicles, drivers and services across multiple shifts.
- Optimising resource allocation in complex operations.
- Reducing planning and replanning times.
- Maintaining efficiency without compromising schedule compliance.
A project based on real data
The project began with an analysis session between ALSA and Evolution Algorithms to understand day-to-day operations and business constraints.
LOGISPLAN made it possible to optimise operational planning and resource allocation.
The simulations carried out made it possible to validate the fit of the solution before moving on to operational deployment.
What does LOGISPLAN bring to logistics optimisation?
LOGISPLAN is advanced route optimisation software designed for the transport and logistics sector. The system automatically calculates the optimal routes and loads for each vehicle in the fleet, taking into account multiple constraints and operational variables.
The solution can take into account factors such as:
- Delivery and collection time windows.
- Vehicle capacities and types.
- Technical and regulatory constraints.
- Operating costs.
- Driver schedules.
- Load optimisation.
- Fixed, scheduled or charter services.
LOGISPLAN also integrates with the company's ERP systems and corporate platforms, enabling automated information exchange and full automation of the planning process.
Project objectives
By implementing LOGISPLAN, ALSA is pursuing several strategic objectives:
- Optimising operational planning and resource allocation.
- Automating service-planning processes.
- Improving control over the fleet and drivers.
Expected results and benefits
With LOGISPLAN in production, ALSA expects to consolidate a more predictable, efficient operation that can adapt to day-to-day changes.
The main expected benefits include:
- Greater operational efficiency in service management.
- Shorter planning times.
- Better use of vehicles and staff.
The use of advanced optimisation algorithms also makes it possible to analyse multiple scenarios and identify more efficient operating configurations, helping the company size its logistics resources correctly.
Technology for more efficient logistics
ALSA's decision to implement LOGISPLAN reflects the industry's move towards more digital, measurable and efficiency-driven operations.
Evolution Algorithms supports the company throughout this process, helping turn logistics planning into a genuine competitive advantage.
Frequently asked questions
How does LOGISPLAN help optimise routes for bus services?
LOGISPLAN automatically calculates optimal routes and loads while considering operational constraints, time windows, vehicle capacities and costs, enabling ALSA to plan bus services more accurately.
Can tests be carried out with real data before implementation?
Yes. Evolution Algorithms can prepare simulations using real ALSA operational data to validate results and fine-tune the configuration before full deployment.
Does LOGISPLAN integrate with the company's existing systems?
LOGISPLAN can integrate with ERP systems and corporate platforms to automate the exchange of orders, resources and planning results, reducing manual work.