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首页> 外文期刊>International Journal of Production Research >Agile manufacturing system control based on cell re-configuration
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Agile manufacturing system control based on cell re-configuration

机译:基于单元重构的敏捷制造系统控制

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The control of an agile manufacturing system (AMS) is expected to be flexible, open, scalable and re-configurable so as to tackle the more complex and uncertain information flows. To meet these requirements, we propose agent-based control architecture for AMS, under which the functions of task planning, scheduling and dynamic control are integrated seamlessly. First of all, this paper introduces the concept of RMC (re-configurable manufacturing cell), based on which, we construct the control architecture for AMS in compliance with multi-agent system (MAS). The whole control process under the architecture comprises two hierarchies, i.e. the upper one for order planning and RMC forming and the lower one for task scheduling within each RMC. For the upper hierarchy, we establish a linear integer programming (LIP)-based mathematical model and a MAS-based dynamic process model, and present a two-step approach to order planning and RMC forming. For the lower hierarchy, we develop the scheduling model, a method based on the bidding mechanism from contract net, and describe the rescheduling mechanism in the control system. To illustrate the methodology proposed in the paper, a simulation study is thoroughly discussed. Our studies demonstrate that the RMC-based control architecture provides an AMS with an optimal, dynamic and flexible mechanism of responding to an unpredictable manufacturing environment, which is crucial to achieve agility for the whole manufacturing system.
机译:敏捷制造系统(AMS)的控制被期望是灵活的,开放的,可扩展的和可重新配置的,以解决更复杂和不确定的信息流。为了满足这些要求,我们提出了一种基于代理的AMS控制体系结构,该体系结构将任务计划,调度和动态控制功能无缝集成在一起。首先,本文介绍了RMC(可重配置制造单元)的概念,在此基础上,我们构建了符合多智能体系统(MAS)的AMS控制体系结构。该体系结构下的整个控制过程包括两个层次,即上层用于订单计划和RMC形成,下层用于每个RMC内的任务调度。对于较高的层次结构,我们建立了基于线性整数规划(LIP)的数学模型和基于MAS的动态过程模型,并提出了分两步进行订单计划和RMC形成的方法。对于较低的层次结构,我们开发了调度模型,一种基于合同网投标机制的方法,并描述了控制系统中的重新调度机制。为了说明本文提出的方法,对仿真研究进行了全面讨论。我们的研究表明,基于RMC的控制体系结构为AMS提供了一种最佳,动态和灵活的机制来应对不可预测的制造环境,这对于实现整个制造系统的敏捷性至关重要。

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