Dispersion is a relatively simple distribution method, but it must take several parameters into account to be efficient in the supply chain. The principle consists of adding, or even multiplying, the number of deliveries during a typical round between two distribution points. Dispersion thus optimizes the storage capacity of a freight vehicle and streamlines delivery costs.
However, dispersal only improves logistics by taking into account certain factors:
the additional cost generated by the dispersion must not eat into the economy of a race;
the dispersion must not contradict the Labor Code and the CSR (European Social Regulation) on the scheduling of drivers;
the legal loading capacity of transport vehicles is not exceeded.
The dispersion of goods flows is particularly beneficial at the end of the supply chain, when deliveries are made on a larger scale. Its implementation is carefully measured upstream using transport optimization software.
Integrating last mile management into your logistics optimization
E-commerce activities have grown exponentially in recent decades. This translates into an ever-increasing number of packages to be delivered, while customer satisfaction has also increased. Strong competition and shrinking delivery times have also led to the optimization of last-mile logistics .
This is the last link in the Supply Chain . Indeed, last-mile management can be confronted with traffic jams or an accident, which slows down the pace of daily deliveries. However, delays in delivery times cause a drop in customer satisfaction and unexpected additional costs (additional fuel consumption, goodwill gestures, package returns, etc.). Ultimately, the company’s brand image suffers from a malfunction during the last mile. Moreover, the last mile remains the one that generates the most greenhouse gas emissions.
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The Supply Chain must also address issues related to global warming, as well as the resulting legislation: alternate traffic, no-traffic zones in city centers, etc. All of these parameters mathematically lead to an increase in delivery costs.
There are several solutions for optimizing the last mile of a delivery.
Locate the warehouse close to delivery points, so as to limit the distances to be covered.
Automate route planning within the supply chain. Software collects the information flows collected (customer address, type of goods, delivery time, traffic conditions, etc.) and dispatches packages by sector, delivery time, truck occupancy rate, etc.
Increasing delivery methods is one of the best ways to reduce last-mile costs. Click & Collect, for example, has been a huge success since the health crisis. Soft modes of transport such as cycling, switching to biofuel, and drone delivery are also worth exploring.
Pool your logistics by sharing storage, flow management, and transport vehicles with other companies. This optimizes vehicle occupancy rates and reduces costs and carbon footprint.
Provide real-time delivery tracking to consumers. Some tracking systems even indicate the number of deliveries remaining before the customer receives their package. This gives them a better understanding of the delivery process and reduces dissatisfaction.