Improving urban logistics through operational research
_
activity:
Robotics
expertise:
Computer science
To meet the challenges of urban logistics, we have developed web solutions and advanced algorithms that optimize the management of delivery droids. By integrating operational research methods and graph theory, we designed an efficient routing algorithm, combining performance, sustainability and service quality.
context
Today's urban logistics does not always meet the requirements for efficiency and environmental impact. Twinswwheel, our partner, offers an innovative alternative with autonomous electric mobile assistants. By applying operational research methods, we have developed an optimal routing algorithm, taking into account the constraints and specificities of urban deliveries.
valuations
combining data science and computer science
By combining Data Science and software engineering, we design tools capable of transforming data into decisions. Do you want to develop a tailor-made solution? Our experts support you.
Operational research brings together a set of mathematical techniques aimed at identifying the best solution to achieve a given objective, by optimizing resources and performances while respecting operational constraints. Here it applies at two levels:
Pickup and Delivery Algorithms
Optimization of the collection and delivery of goods according to capacity and time constraints. OSE_ uses Local Search algorithms to dynamically adjust routes and reduce costs across the fleet. This approach allows real-time adaptation to requests and logistical contingencies. A dedicated web application ensures the continuous connection to drones for optimal monitoring of operations.
advanced web modules
Development of interactive tools for the management and visualization of the navigation network: video streaming, remote operation, remote control, map creation, collaborative editing and real-time fleet supervision.
Optimization settings
We have developed an algorithm for calculating the trajectory and finding the optimal route, accompanied by a web application bringing together the tools necessary for the exploitation of droids.This solution allows Twinswwheel to optimize delivery management by integrating numerous operational variables:
01
Weight, volume, as well as parcel collection and delivery points.
02
Delivery time windows.
03
Technical characteristics of droids (speed, autonomy, load capacity).
04
Taking into account traffic and infrastructure limitations.
results
An algorithm at the service of operational performance.
The project resulted in the development of a model for calculating optimal routes, allowing Twinswwheel to optimize trip planning and centralize data collection.
