Heterogeneous Graph Attention Networks for Scheduling in Cloud Manufacturing and Logistics
Efficient task scheduling and resource allocation in manufacturing are vital for gaining competitive advantages in dynamic economic environments. Modern manufacturing systems must integrate logistics considerations such as delivery times and costs, yet traditional scheduling methods often overlook t...
Saved in:
| Main Authors: | Dmitrii Fomin, Ilya Makarov, Mariia Voronina, Anna Strimovskaya, Vitaliy Pozdnyakov |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10813358/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LOGISTICS INFORMATION PROCESSING SYSTEMS ON THE THRESHOLD OF IoT
by: Konrad LEWCZUK, et al.
Published: (2020-06-01) -
Integrating arrival time estimation in truck scheduling: an explorative study in grocery retailing
by: Tiziana Modica, et al.
Published: (2024-12-01) -
Fault tolerant & priority basis task offloading and scheduling model for IoT logistics
by: Asif Umer, et al.
Published: (2025-01-01) -
Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time
by: Zohre Kiapasha, et al.
Published: (2024-06-01) -
Lojistik 4.0 Üzerine Yapılan Araştırmaların Bibliyometrik Analizi
by: Muhammed Turğut, et al.
Published: (2023-01-01)