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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >A wasp-based control model for real-time routing of parts in a flexible manufacturing system
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A wasp-based control model for real-time routing of parts in a flexible manufacturing system

机译：基于黄蜂的控制模型，用于在柔性制造系统中实时路由零件

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This article presents a self-adaptive, wasp-based control model for real-time part routing in a flexible manufacturing system (FMS). Inspired from the natural system of a wasp colony, the proposed control model is a multi-agent system that exhibits adaptive behaviour. It uses simple rules built on a decentralized architecture and hence it overcomes the drawbacks of traditional agent-based systems, such as long negotiation times among agents. The production problem, which has been previously studied in the literature, includes real-time routing of parts with the objective of minimizing average waiting times and average cycle times in a large FMS that consists of 40 machines. The proposed wasp-based control model is benchmarked via simulation under various experimental conditions against those previously published studies. The simulation study shows that it outperforms the previously reported studies when the production system is heavily loaded and prone to congestion. The self-adaptive nature of the proposed model makes it robust in the presence of such dynamic, unexpected changes occurring in the FMS.
机译：本文提出了一种基于黄蜂的自适应控制模型，用于在柔性制造系统（FMS）中进行实时零件铣削。受到蜂群自然系统的启发，提出的控制模型是一种多智能体系统，具有自适应行为。它使用基于分散式体系结构的简单规则，因此克服了传统基于代理的系统的缺点，例如代理之间的协商时间长。先前已在文献中研究过的生产问题包括零件的实时布线，目的是在由40台机器组成的大型FMS中将平均等待时间和平均循环时间最小化。所提出的基于黄蜂的控制模型是通过在各种实验条件下通过仿真与先前发表的研究进行基准测试的。仿真研究表明，当生产系统负载重并且容易出现拥塞时，其性能优于先前报道的研究。所提出的模型的自适应性质使其在FMS中发生这种动态的，意外的变化的情况下具有鲁棒性。

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