The Situation
ARAUCO’s transport operations relied on an ageing planning system that could no longer support the scale and complexity of their logistics network. With multiple loading points, driver changeovers, and strict fatigue regulations to manage, the existing processes created bottlenecks, longer travel distances, and inefficiencies. ARAUCO needed a modern optimisation solution that could improve planning accuracy across different time horizons and integrate smoothly with their existing systems.
Our Approach
Opturion implemented a customised optimisation solution built on our proven AI-driven platform. The system delivers medium-term tactical planning and is designed to expand into long-term strategic planning and real-time optimisation. It integrates directly with ARAUCO’s existing management tools and supports the full workflow, from sourcing forest products to scheduling transport to mills and manufacturing plants.
Our approach focused on intelligent scheduling, minimising congestion at loading sites, and optimising driver work-rest cycles to improve fleet efficiency and compliance.
Client Challenges
ARAUCO faced several operational challenges that required an advanced solution:
- An outdated planning system that limited optimisation capabilities.
- Complex loading operations with high risk of congestion and queueing.
- Difficulty coordinating driver breaks and fatigue management.
Inefficient routing leading to excessive travel distances. - Limited visibility and flexibility across multiple planning horizons
These challenges increased operational costs and hindered fleet utilisation.
Project Background
The solution developed for ARAUCO delivers a secure and efficient end-to-end planning workflow. It supports tactical planning today, with future extensions for long-term planning and real-time dynamic scheduling. The system optimises routing, loading sequences, and driver schedules, while ensuring full compliance with industry and safety regulations.
By integrating all relevant data streams, the platform enables smarter decision-making and lays the foundation for a fully automated supply chain optimisation ecosystem.
The Results
~15% reduction in total transport costs, driven by more efficient routing
Reduced distance travelled and improved allocation of fleet resources
Higher fleet utilisation through intelligent scheduling and driver coordination
100% compliance with driver break and fatigue management regulations
