Case study
Success Story: Fuel Distribution
Multi-compartment optimisation for fuel distribution with loading, unloading and operational incompatibility constraints.
Planning and optimisation of routes covering multiple customer orders for fuel distribution.


Participating clients
Companies involved in this LOGISPLAN implementation.
Operational context
Company profile
Company type: Fuel transport companies
Activity: Companies transporting fuel and petroleum products to service stations and directly to customers requiring heating, agricultural or industrial fuel.
The challenge and solution
Operational constraints
The challenge was to implement a powerful route optimisation tool capable of handling the sector’s complex requirements:
- Vehicles with multiple compartments and the ability to load different products into each compartment
- Different unloading methods, including gravity and motor-driven pumps
- Ability to combine orders from different customers in the same tank
- Different technical constraints, including vehicle size, vapour recovery and seal requirements
- Management of incompatibilities between trips and between products
Implementation and engine capabilities
LOGISPLAN is an intelligent system that automates route planning while optimising the use of the available fleet. It also reduces distance travelled, working hours and other operational costs. The system includes most of the logistics constraints typical of the sector and allows new company-specific requirements to be configured.
LOGISPLAN capabilities
Operational benefits
Results and advantages
Automation: Automation of the planning process saves working time and reduces dependence on highly experienced staff.
Optimisation: Route costs are minimised in terms of distance, working hours and other factors, increasing overall company productivity.
Compliance and safety: Greater assurance and operational safety when complying with regulations and logistics constraints.
Service quality: Improved service quality through better compliance with schedules and other operational requirements.
Last-minute changes: Fast and efficient response to last-minute changes.
Energy efficiency: Lower CO2 emissions by reducing distance travelled and, as a result, improving the company’s carbon footprint.



