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Multi-agent modeling on scheduling of multi-variety and multi-process job-shop

机译:多品种多过程作业车间调度的多主体建模

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A new method for modeling and analyzing scheduling of multi-variety and multi-process job-shop based on multi-agent was proposed to effectively solve the dynamic and complex scheduling of multi-variety and multi-process job-shop problem. A physical and mathematic scheduling model of multi-variety and multi-process job-shop based on multi-agent was established. The analyzing scheduling system obtained the target function based on six kinds of agents such as planning agents, searching agents, negotiating agents, deciding agents, logistics agents and database agents. A system was designed to realize the analyzing scheduling of multi-variety and multi-process job-shop with Java programming language. The scheduling of the job-shop in a certain national automobile liner production enterprise was taken as an example. Results proved the validity and reliability of this multi-agent model and scheduling system.
机译:提出了一种基于多Agent的多变量多过程作业车间调度建模与分析的新方法,以有效解决多变量多过程作业车间调度的动态复杂问题。建立了基于多Agent的多品种多过程作业车间物理数学调度模型。分析调度系统基于计划代理,搜索代理,谈判代理,决策代理,物流代理和数据库代理等六种代理获得目标功能。设计了一个系统,用Java编程语言来实现多品种,多过程的作业车间的分析调度。以某国家某汽车衬板生产企业的车间调度为例。结果证明了该多智能体模型和调度系统的有效性和可靠性。

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