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Design of scalable agent-based reconfigurable manufacturing systems with Petri nets

机译：基于可释放的代理的可再配置制造系统与Petri网设计

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摘要

Reconfigurable manufacturing systems (RMS) provide a flexible paradigm to deal with frequently changing demand and technologies. Scalability is an important property that determines whether the capacity of RMS can accommodate fluctuation in product demand by adjusting/reconfiguring machines and/or structure of production processes. Although there are several studies on scalability of RMS, there are relatively few studies that provide a framework that supports the development of scalable RMS based on multi-agent systems (MAS), from modelling, analysis to design. Motivated by this urgent need, this paper attempts to bridge the gap between theoretical development and design of scalable agent-based RMS. Although MAS and agents' characteristics of autonomy provide a suitable architecture to model and capture interactions of entities in agent-based manufacturing systems, the original MAS lack process models for agents. By adopting Petri nets as the process models of agents, the capacity scalability problem (CSP) in agent-based RMS can be described by Petri nets in MAS architecture. Due to the lack of optimisation theory developed for Petri nets, the CSP is transformed into an optimisation problem that can be solved by applying classical Lagrange relaxation optimisation theory to relevant agents in the problem-solving processes. Therefore, the methodology proposed to develop scalable agent-based RMS is based on MAS, Petri net models and Lagrange relaxation optimisation theory. The effectiveness of agent-based RMS is illustrated by examples which show that fewer configurable resources are required for agent-based RMS to meet order requirements.
机译：可重新配置的制造系统（RMS）提供灵活的范式来处理经常不断变化的需求和技术。可伸缩性是通过调整/重新配置机器和/或生产过程的结构来确定RMS的容量是否可以适应产品需求的波动。虽然有几个关于RMS可扩展性的研究，但是有一个相对较少的研究，提供了一种框架，该框架支持基于多种子体系统（MAS）的可扩展RMS的开发，从建模，分析到设计。本文试图弥合可扩展代理的RMS理论开发与设计之间的差距。虽然MAS和代理的自主特征提供了适当的架构来模拟和捕获基于代理的制造系统中的实体的相互作用，但原来的MAS缺乏用于代理的过程模型。通过采用Petri网作为代理的过程模型，可以通过MAS架构中的Petri网描述基于代理的RMS中的容量可扩展性问题（CSP）。由于缺乏针对Petri网开发的优化理论，CSP转变为优化问题，可以通过将经典拉格朗日放松优化理论应用于解决问题的过程中的相关代理来解决。因此，建议开发基于可扩展的代理的RMS的方法是基于MAS，Petri网模型和拉格朗日放松优化理论。通过示例说明了基于代理的RMS的有效性，其示出了基于代理的RMS需要更少的可配置资源，以满足订单要求。

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