Logistics network optimisation.
Simulation and mathematical optimisation to compare warehouses, flows, deliveries and returns for a multinational fashion company.
Design the logistics network before changing it.
A complex logistics network with rising costs required strategic decisions about warehouses and flows. The challenge was to assess costs, delivery times and returns together, rather than treating each node in isolation.
- Optimisation
- Predictive models
- What-if
What we designed.
Predictive models describe expected flows, simulation evaluates a configuration, and optimisation searches alternatives against objectives and constraints. Comparisons are interpreted within the model’s assumptions and data.
Model the flows
We represented the logistics network through predictive and simulation models to understand relationships between nodes, movements and service levels.
Compare configurations
Mathematical optimisation supported the search for warehouse and flow configurations aligned with cost and time objectives.
Evaluate scenarios
What-if analysis enabled comparisons between network alternatives and their implications for deliveries and returns, supporting strategic decisions.
Warehouses and flows
Simulation + optimisation
Network alternatives
What it makespossible.
- A quantitative basis for redesigning the logistics network.
- Identification of an optimised warehouse configuration within the model.
- Joint assessment of costs, deliveries and returns.
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