Benchmark & Case study

Algorithm for Routing Optimisation




  • Slow and manual routing process
  • No visibility of the impact of the different variables

Root causes

  • Available tools are heavy and perform poorly
  • Solutions dependent on one resource and his knowledge
  • Little flexibility to improve solutions through adding/removing stops and drivers
  • Difficulty performing sensitivity analysis to study the impact of each restriction

The solution

Creation of a mathematical model and algorithm to define the initial solutionDevelopment of a genetic algorithm (based on meta heuristics) to optimise routesSolutions displayed in a visual format to ease understandingSet-up of a user-friendly interface to guarantee successful deployment of the tool

The Results


Process Lead Time

Process Lead Time decreased by 90%.

Gains 2

Costs : FTE + km

Costs reduced by 10%.

#logistics #warehousing and transport #analytics

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