Knowledge Graph-Enhanced Digital Twin Framework for Optimized Job Shop Scheduling in Smart Manufacturing

Knowledge Graph-Enhanced Digital Twin Framework for Optimized Job Shop Scheduling in Smart Manufacturing

The emergence of Digital Twin (DT) technology over the past decade has introduced a transformative perspective to various research areas, notably the Job Shop Scheduling Problem (JSSP) in smart manufacturing. This paper proposes a novel algorithm to address the JSSP in industrial contexts, operating...

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Bibliographic Details
Main Authors: Nehal Tarek, Abeer D. Algarni, Nancy A. El-Hefnawy, Hatem Abdel-Kader, Amira Abdelatey
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Digital twin
job shop scheduling problem
smart manufacturing
genetic algorithm
grey wolf optimization
knowledge graph
Online Access:https://ieeexplore.ieee.org/document/10849547/
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https://ieeexplore.ieee.org/document/10849547/

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