Cover
Vol. 16 No. 1 (2025)

Published: February 16, 2025

Pages: 21-35

Research Paper

Optimizing Cloud-Edge Integration for Task Scheduling in Smart Manufacturing Lines: A Multi-objective Method

Ahmed Ahmed 1 Mohammed Adam Ari Guron 2 ali husien 3
1Department of Information Technology, College of Engineering, University of Lebanese French, Erbil, Iraq
2Department of Computer Science, Faculty of Science and Engineering, University of Bayan, Erbil, Iraq
3Department of Management Information Systems, Technical Administrative Institute, Erbil Polytechnic University, Erbil, Iraq
History
  • Received: January 5, 2025
  • Revised: February 9, 2025
  • Accepted: February 21, 2025
  • Available Online: February 25, 2025
DOI

https://doi.org/10.37649/aengs.2025.156372.1120

Abstract

The convergence of cloud and edge computing in smart manufacturing offers significant potential for improving efficiency in Industry 4.0. However, task scheduling in this context remains a complex, multi-objective challenge. This study introduces a novel Cloud-Edge Smart Manufacturing Architecture (CESMA), leveraging a hybrid approach that integrates NSGA-II and the Improved Monarch Butterfly Optimization (IMBO) algorithms. The combination utilizes NSGA-II's global search and non-dominated solution capabilities with IMBO's fine-tuning and local optimization strengths to enhance task scheduling performance. Where CESMA combines the scalability and analytics power of cloud computing with edge-based real-time decision-making to address the dynamic demands of smart manufacturing. Through extensive simulations and experiments, the feasibility and effectiveness of CESMA are validated, showing improved task scheduling quality, resource utilization, and adaptability to changing conditions. This research establishes a robust platform for managing the complexities of task scheduling in cloud-edge environments, advancing intelligent manufacturing processes, and contributing to the integration of evolutionary algorithms for real-time industrial decision-making

Keywords

References

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