Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System
This research article proposes a new method for an enhanced Flexible Manufacturing System (FMS) using a combination of smart methods. These methods use a set of three technologies of Industry 4.0, namely Artificial Intelligence (AI), Digital Twin (DT), and Wi-Fi-based indoor localization. The combin...
Saved in:
| Main Authors: | Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/13/1/37 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Transforming Manufacturing Quality Management with Cognitive Twins: A Data-Driven, Predictive Approach to Real-Time Optimization of Quality
by: Asif Ullah, et al.
Published: (2025-02-01) -
Multi-Fingerprints Indoor Localization for Variable Spatial Environments: A Naive Bayesian Approach
by: Chengjie Hou, et al.
Published: (2024-09-01) -
Research on Wi-Fi Fingerprint Database Construction Method Based on Environmental Feature Awareness
by: Jiaxuan Wu, et al.
Published: (2024-10-01) -
A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching Algorithm
by: Xu Feng, et al.
Published: (2024-01-01) -
Dual-verified secure localization method for unmanned intelligent vehicles
by: GU Xiaodan, et al.
Published: (2024-06-01)