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Swarm Intelligence-Driven Dispatching Rules for Semiconductor Production
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DOI：10.1007/978-3-032-04777-9_9.png)
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Abstract
En 中文
The immense complexity of semiconductor production demands for advanced dispatching strategies that transcend traditional rule-based systems. This paper introduces a novel approach to dispatching rules derived from swarm intelligence techniques, specifically designed to tackle the intricate dynamics of large-scale semiconductor manufacturing processes. Our approach integrates simulation and optimization methods to investigate and enhance operational efficiency, addressing both the scalability of schedules and their practical implementation. We employ a customizable simulation framework to model a semiconductor manufacturing environment, wherein various dispatching rules as well as our proposed swarm intelligence-driven method are assessed. The effectiveness of these dispatching rules is quantitatively evaluated through a series of simulations that measure key performance indicators such as work-in-progress levels, throughput, and operational variability across different production scenarios. This study not only elucidates the potential of swarm intelligence techniques in refining production dispatching strategies, but also provides a simulation-based evaluation framework that can assist in the further development of intelligent dispatching systems.
Keywords:
Swarm intelligence
Ant colony optimization
Greedy search
Semiconductor production
Scheduling
Dispatching
Simulation
Journal
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Papers:
7
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