Ismayyir, D., Dawood, L., AL-Khafaji, M. (2024). Switching mechanism of dynamic hybrid control multi-agent system in manufacturing environment. , 42(6), 794-807. doi: 10.30684/etj.2024.148242.1725
Dhuha Kadhim Ismayyir; Lamyaa M. Dawood; Mohanned M. H. AL-Khafaji. "Switching mechanism of dynamic hybrid control multi-agent system in manufacturing environment". , 42, 6, 2024, 794-807. doi: 10.30684/etj.2024.148242.1725
Ismayyir, D., Dawood, L., AL-Khafaji, M. (2024). 'Switching mechanism of dynamic hybrid control multi-agent system in manufacturing environment', , 42(6), pp. 794-807. doi: 10.30684/etj.2024.148242.1725
Ismayyir, D., Dawood, L., AL-Khafaji, M. Switching mechanism of dynamic hybrid control multi-agent system in manufacturing environment. , 2024; 42(6): 794-807. doi: 10.30684/etj.2024.148242.1725

Switching mechanism of dynamic hybrid control multi-agent system in manufacturing environment

Engineering and Technology Journal
Volume 42, Issue 6, June 2024, Pages 794-807    PDF (1.82 M)
Document Type: Research Paper
DOI: 10.30684/etj.2024.148242.1725
Authors
Dhuha Kadhim Ismayyir* ; Lamyaa M. Dawood; Mohanned M. H. AL-Khafaji
Production Engineering and Metallurgy Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.
Abstract
Current expectations demand that manufacturing control systems exhibit enhanced flexibility and agility. Concurrently, using a multi-agent manufacturing system has been regarded as a crucial strategy for addressing the challenges associated with dynamics and unpredictability within the setting of part processing. This paper presents a novel switching mechanism for a hybrid control multi-agent system. The proposed hybrid control model combines the benefits of semi-heterarchical and hierarchical structures, enabling the successful implementation of adaptive control strategies. The aim is to enhance the implementation of a multi-agent control system in a dynamic manufacturing environment. This study checks how well the suggested switching mechanism in a hybrid control multi-agent system by examining its performance across many metrics, including processing time, throughput, cycle time, and utilization of resources. The results show that a semi-heterarchical control architecture system has superior outcomes to a hierarchical control structure. The evaluation of a production control policy typically necessitates the utilization of simulation modeling, as it involves complex interactions. In this regard, the Matlab 2022/Simulink software package was employed. This study was conducted in response to the limited number of comprehensive studies that have described the implementation of this particular program.

Highlights
  • The hybrid model melds semi-heterarchical and hierarchical benefits, enabling adaptive control.
  • Switching to semi-heterarchical structures can boost efficiency, especially with operational deviations.
  • Implementing semi-heterarchical control yields the most optimal production outcomes.
Keywords
Hierarchical control Semi; heterarchical control Flexible manufacturing system (FMS) Demand volume Demand variety
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