A Hybrid Approach to Resource Optimization in Reconfigurable Production Systems
DOI:
https://doi.org/10.64229/2yph4k85Keywords:
Resource allocation, Production scheduling, Dynamic manufacturing, Task integration, Efficiency optimizationAbstract
This article presents a novel approach to optimizing resource allocation in dynamic, reconfigurable production environments. The increasing complexity of modern manufacturing systems often limits the effectiveness of traditional methods, leading to suboptimal resource utilization and production performance. To address these challenges, the proposed approach integrates advanced scheduling algorithms, real-time data analytics, and intelligent optimization techniques to enhance decision-making under dynamic conditions. The results demonstrate improved adaptability, efficiency, and overall system performance through the dynamic adjustment of resource allocation in response to changing production requirements. A comparative analysis with existing approaches highlights the proposed method’s advantages, including higher success rates, improved efficiency, and more proactive decision-making capabilities. Furthermore, validation through case studies confirms the effectiveness of the approach in streamlining production schedules, maximizing resource utilization, and improving operational efficiency. Overall, the proposed framework provides a robust and flexible solution for resource optimization in modern manufacturing environments, supporting increased competitiveness and operational resilience.
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Copyright (c) 2026 Salah Hammedi (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
