Platform Architecture and Functionality for Efficient and Intelligent Logistics

Kourouthanassis, P., Bardaki, C., Sourvinos, A., Karyotis, V., & Mylonas, P. (2023). Platform Architecture and Functionality for Efficient and Intelligent Logistics. In 2023 18th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMAP59435.2023.10255183

Περίληψη

This paper describes the layered architecture and functionality of an intelligent logistics platform for logistics companies to centrally coordinate their transportation operations. It offers real-Time tracking, tracing, and reporting capabilities to logistics stakeholders, as well as dynamic scheduling and routing of deliveries forming shipments and routes with optimized resources allocation and costs. The optimization of shipments scheduling and routing is performed drawing on the backpressure technique, which, to the best of our knowledge, has never been applied to optimize supply chain transport operations. The algorithm combines a variety of factors that affect transportation operations (such as the capacity and current inventory of each node in the transportation network and the fleet characteristics) and proposes dynamically shipments and optimal paths for the company fleet and couriers for last-mile delivery. © 2023 IEEE.

DOI
10.1109/SMAP59435.2023.10255183
ISBN
9798350327717
Τύπος
Άρθρο σε Πρακτικά Συνεδρίου
Έτος
2023

Σύνδεσμοι

BibTeX

@inproceedings{Kourouthanassis2023,
title = {Platform Architecture and Functionality for Efficient and Intelligent Logistics},
author = {P. Kourouthanassis and C. Bardaki and A. Sourvinos and V. Karyotis and P. Mylonas},
url = {https://doi.org/10.1109/SMAP59435.2023.10255183},
doi = {10.1109/SMAP59435.2023.10255183},
isbn = {9798350327717},
year  = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {2023 18th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {This paper describes the layered architecture and functionality of an intelligent logistics platform for logistics companies to centrally coordinate their transportation operations. It offers real-Time tracking, tracing, and reporting capabilities to logistics stakeholders, as well as dynamic scheduling and routing of deliveries forming shipments and routes with optimized resources allocation and costs. The optimization of shipments scheduling and routing is performed drawing on the backpressure technique, which, to the best of our knowledge, has never been applied to optimize supply chain transport operations. The algorithm combines a variety of factors that affect transportation operations (such as the capacity and current inventory of each node in the transportation network and the fleet characteristics) and proposes dynamically shipments and optimal paths for the company fleet and couriers for last-mile delivery. © 2023 IEEE.},
keywords = {Computer architecture; Fleet operations; Network architecture; Ships, Layered architecture; Logistics company; Logistics platforms; Optimisations; Platform architecture; Platform functionalities; Routings; Scheduling and routing; Systems architecture; Transportation operations, Supply chains},
pubstate = {published},
tppubtype = {inproceedings}
}

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