1. Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic Services
- Author
-
Vasileios Tsoukas, Eleni Boumpa, Vasileios Chioktour, Maria Kalafati, Georgios Spathoulas, and Athanasios Kakarountas
- Subjects
smart routing ,urban routing ,routing services ,VRP ,CVRP ,GVRP ,Electronic computers. Computer science ,QA75.5-76.95 ,Probabilities. Mathematical statistics ,QA273-280 - Abstract
This work proposes an effective solution to the Vehicle Routing Problem, taking into account all phases of the delivery process. When compared to real-world data, the findings are encouraging and demonstrate the value of Machine Learning algorithms incorporated into the process. Several algorithms were combined along with a modified Hopfield network to deliver the optimal solution to a multiobjective issue on a platform capable of monitoring the various phases of the process. Additionally, a system providing viable insights and analytics in regard to the orders was developed. The results reveal a maximum distance saving of 25% and a maximum overall delivery time saving of 14%.
- Published
- 2023
- Full Text
- View/download PDF