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A novel approach for multi-agent-based Intelligent Manufacturing System

机译:基于多主体的智能制造系统的新方法

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摘要

In the recent years, the competition of shortening the development cycle of new products is more and more fierce. Given the shortcomings of traditional scheduling algorithm in Intelligent Manufacturing, the architecture of multi-agent-based Intelligent Manufacturing System is put forward, which represents the basic processing entity. The architecture is based on the methodology of multi-agent systems (MAS) in distributed artificial intelligence (DAI). The multi-agent system has some common characteristics, such as distribution, autonomy, interaction and openness, which are helpful to transform the traditional architecture into a distributed and cooperative architecture in an Intelligent Manufacturing System. To develop a multi-agent-based scheduling system for Intelligent Manufacturing, it is necessary to build various functional agents for all the resources and an agent manager to improve the scheduling agility. In this paper, the proposed architecture consists of various autonomous agents that are capable of communicating with each other and making decisions based on their knowledge. The architecture of Intelligent Manufacturing, the scheduling optimization algorithm, the negotiation processes and protocols among the agents are described in detail. A prototype system is built and validated in an illustrative example, which demonstrates the feasibility of the proposed approach. The experiments prove that the implementation of multi-agent technology in Intelligent Manufacturing System makes the operations much more flexible. economical and energy-efficient.
机译:近年来,缩短新产品开发周期的竞争越来越激烈。针对智能制造中传统调度算法的不足,提出了一种基于多智能体的智能制造系统体系结构,该体系结构代表了基本的处理实体。该架构基于分布式人工智能(DAI)中的多智能体系统(MAS)的方法。多智能体系统具有分布,自治,交互和开放等共同特征,有助于将传统架构转变为智能制造系统中的分布式协作架构。为了开发用于智能制造的基于多代理的调度系统,必须为所有资源构建各种功能的代理,并需要一个代理管理器来提高调度敏捷性。在本文中,提出的体系结构由各种自治代理组成,这些代理能够相互通信并根据其知识做出决策。详细介绍了智能制造的体系结构,调度优化算法,代理之间的协商过程和协议。在一个说明性示例中构建并验证了原型系统,这说明了所提出方法的可行性。实验证明,智能制造系统中多智能体技术的实施使操作更加灵活。经济和节能。

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