Case study
Implantación en INALSA
INALSA implements LOGISPLAN to optimise its distribution routes
INALSA takes a step towards more efficient logistics by implementing LOGISPLAN for animal-feed distribution.
INALSA, a company specialising in animal-feed distribution, has begun a process of transforming and improving its logistics operations by implementing LOGISPLAN, the route optimisation system developed by Evolution Algorithms.
With this implementation, the company aims to improve the efficiency of its distribution operations, reduce transport-related costs and optimise the use of its fleet and logistics resources.
A growing route-planning challenge
In a context where logistics efficiency has become a strategic factor, INALSA identified the need to evolve its route-planning and resource-allocation processes.
In animal-feed distribution, combining multiple rural deliveries, access restrictions and bulky loads makes daily planning more complex.
The main challenges identified included:
- Coordinating deliveries in rural areas with difficult access.
- Optimising loads according to vehicle type and feed type.
- Reducing mileage between farms and production centres.
- Maintaining efficiency with a high number of stops.
A project based on real data
The project began with an analysis session between INALSA and Evolution Algorithms to understand day-to-day operations and business constraints.
The implementation of LOGISPLAN made it possible to automate route planning and optimisation.
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, INALSA is pursuing several strategic objectives:
- Automating route planning and optimisation.
- Improving vehicle and driver utilisation.
- Reducing manual planning times.
Expected results and benefits
Implementing an advanced optimisation solution such as LOGISPLAN will give the company much more efficient and flexible planning.
The main expected benefits include:
- Greater efficiency on rural delivery routes.
- Better use of load capacity.
- Lower operational logistics costs.
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
INALSA's commitment to logistics optimisation solutions reflects the growing importance of digitalisation and automation in the transport and distribution sector.
By implementing LOGISPLAN, the company takes another step towards logistics management that is more efficient, sustainable and ready to meet the sector's current challenges.
Frequently asked questions
How does LOGISPLAN help optimise routes for animal-feed distribution?
LOGISPLAN automatically calculates optimal routes and loads while considering operational constraints, time windows, vehicle capacities and costs, enabling INALSA to plan animal-feed distribution more accurately.
Can tests be carried out with real data before implementation?
Yes. Evolution Algorithms can prepare simulations using real INALSA 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.