Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic Services
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 w...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
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| Series: | Analytics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2813-2203/2/2/18 |
| _version_ | 1797596452539596800 |
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| author | Vasileios Tsoukas Eleni Boumpa Vasileios Chioktour Maria Kalafati Georgios Spathoulas Athanasios Kakarountas |
| author_facet | Vasileios Tsoukas Eleni Boumpa Vasileios Chioktour Maria Kalafati Georgios Spathoulas Athanasios Kakarountas |
| author_sort | Vasileios Tsoukas |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-03-11T02:51:40Z |
| format | Article |
| id | doaj.art-4fc43af8d87b445aa89c39979fc97bb9 |
| institution | Directory Open Access Journal |
| issn | 2813-2203 |
| language | English |
| last_indexed | 2024-03-11T02:51:40Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Analytics |
| spelling | doaj.art-4fc43af8d87b445aa89c39979fc97bb92023-11-18T08:57:24ZengMDPI AGAnalytics2813-22032023-04-012232834510.3390/analytics2020018Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic ServicesVasileios Tsoukas0Eleni Boumpa1Vasileios Chioktour2Maria Kalafati3Georgios Spathoulas4Athanasios Kakarountas5Department of Computer Science and Biomedical Informatics, University of Thessaly, 35 131 Lamia, GreeceDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35 131 Lamia, GreeceDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35 131 Lamia, GreeceDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35 131 Lamia, GreeceDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35 131 Lamia, GreeceDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35 131 Lamia, GreeceThis 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%.https://www.mdpi.com/2813-2203/2/2/18smart routingurban routingrouting servicesVRPCVRPGVRP |
| spellingShingle | Vasileios Tsoukas Eleni Boumpa Vasileios Chioktour Maria Kalafati Georgios Spathoulas Athanasios Kakarountas Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic Services Analytics smart routing urban routing routing services VRP CVRP GVRP |
| title | Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic Services |
| title_full | Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic Services |
| title_fullStr | Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic Services |
| title_full_unstemmed | Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic Services |
| title_short | Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic Services |
| title_sort | development of a dynamically adaptable routing system for data analytics insights in logistic services |
| topic | smart routing urban routing routing services VRP CVRP GVRP |
| url | https://www.mdpi.com/2813-2203/2/2/18 |
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