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On the open job-shop scheduling problem: a decentralized multi-agent approach for the manufacturing system performance optimization

机译:在开放工作店调度问题上:一种分散的多智能经验方法,用于制造系统性能优化

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This paper investigates a dynamic integration of the process planning and scheduling operations of a typical Open Job-Shop manufacturing system. For this purpose, a modified CNP-based negotiation protocol - through a multi-agent modelling for jobs and operating machines - is proposed. This approach allows the introduction of an agents’ hybrid behavior, considering both the own return and the system profit achieving the production performance maximization. Finally, a series of simulation runs are conducted in order to compare the performance of the proposed protocol with a recent optimization approach that uses a simple composite dispatching rule.
机译:本文调查了典型的开放工作店制造系统的过程规划和调度操作的动态集成。为此目的,提出了一种修改的基于CNP的协商协议 - 通过多替代的作业和操作机器建模 - 是用于作业和操作机器的。这种方法允许引入代理的混合行为,考虑到自己的回报和系统利润实现了生产性能最大化。最后,进行了一系列模拟运行,以便将所提出的协议的性能与使用简单的综合调度规则的优化方法进行比较。

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