Decision-support tools for strategic supply chain network design. Model distribution networks, optimise warehouse locations, evaluate service levels, and quantify costs, emissions, and risk — all in one interactive platform.
Design and optimise outbound distribution networks. Configure warehouses, transport modes, and demand to find the best facility locations using exhaustive search or genetic algorithms.
Model inbound supply chains from suppliers to distribution centres. Evaluate procurement costs, lead times, and supply disruption risk through Monte Carlo simulation.
Sweep across all possible numbers of distribution centres to find the optimal network size. Compares cost, distance, CO2, service level, and market penetration objectives.
Strategic distribution decisions — where to locate warehouses, how many to operate, which customers to serve from each facility — lock in a large share of total logistics costs for years to come. Getting these decisions right requires balancing competing objectives: minimising transport and warehousing costs, maximising customer service levels, reducing carbon emissions, and building resilience against supply disruptions.
These tools bring together network modelling, mathematical optimisation, and risk simulation into an accessible, interactive platform. They are designed for both educational use and practical scenario analysis, enabling users to explore trade-offs visually on real maps with real-world distance and demand data.
Supply Chain Management & Operations Research
Questions, feedback, or custom analysis? support@scm-sim.com
Developed by Dr Mehdi Amiri-Aref