Spare part distribution optimization

Implemented owned by Sentian.ai English
2y ago update

In order to stay competitive distribution companies need to optimize their logistics and supply chain to give the best service to their customers, and to minimize the environmental footprint. A network of repair shops wanted to optimize the logistics of spare parts distribution. The estimated result was a 10% improvement. Tis meant not only improved service but also lower cost and environmental footprint

Business problem

  • No knowledge of what spare parts will be needed at start of day. This creates a challenge as they don't keep a local inventory of spare parts
  • Deliveries needed multiple times per day in short time windows in order to be able to repair the vehicles during the day

The customer wanted to optimize the routing  and make operations more efficient and flexible.

We used our logistics and planning solution SentianPlanner. It offers both very fast optimization calculations, enabling fast changes if something happens in the operations, and an flexible solution that can handle new challenges as they arise. The solution incorporates both predictions and mathematical optimization to make the optimizations.

Using SentianPlanner we could quickly set up a solution that could optimize the routing but also improve planning in general. The estimated improvement is around 10% higher efficiency.

Attributes

Transportation & Logistics
Operations, Sustainability
Better Customer Experience, Saving Cost, Smarter Product or Service
Shaper
Optimization
Machine Learning
Geospatial Data, Sensor Data, Structured Data