Optimal customer allocation for the distribution of aluminium profiles
A European leader in the field of aluminium profiles for windows and frames, is supplied twice a week by a logistics service provider. In order to improve the service the existing delivery routes were carefully analysed. This included a study of the capacity of the trucks, service, traffic information and regulatory rest periods. As a result of this exercise, an overall savings of 11% was achieved. The solution is to use smaller trucks and more intelligent allocation to routes, which improves the volatility of customer orders.
Charging optimization for the distribution of automotive parts
An automotive retail chain is supplied three times a day via vans from seven depots. Due to the high number of deliveries, tight schedules, range of delivery locations and traffic congestion, the optimisation of routes is a complex issue. A vulnerability analysis on the loading times resulted in 10% more delivery in the stores with the same car park. Savings on costs was mainly due to the optimisation of loading times and a smarter allocation of stores.
The above examples illustrate what level of cost savings it is possible to achieve even with the same traffic conditions. Meanwhile, the cost reductions that were realised did not negatively impact the level of service.