An autonomous manufacturing system for adapting to disturbances
An autonomous manufacturing system for adapting to disturbances
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DOI：
10.1007/s00170-011-3229-2
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发表时间：
2011-03
期刊：
影响因子：
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通讯作者：
Hong-Seok Park;N. Tran
中科院分区：
文献类型：
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作者：
Hong-Seok Park;N. Tran
系统变化和干扰引起的制造系统中断会降低生产率，并增加停机时间和产品成本。为了应对这些挑战，人们应用新的策略和技术来构建自适应制造系统，即自主制造系统（AMS）。在 AMS 中，工件、机器、机器人和运输装置是自主实体。他们有能力自主识别自己的状态和能力，收集数据，并根据制造系统的变化做出决策。为了实现 AMS，选择了代理和认知技术。 AMS需要自治和协作来从Agent技术上解决Agent的问题。 AMS还需要基于认知技术的代理的认知能力。结果，应用了具有认知能力的更智能的代理。本文提出了两种拟议技术的综合方法，用于构建自主控制实体，即认知代理，控制制造系统以适应干扰。提出了具有智能、自主性和通信特性的认知代理来开发AMS。
Disruptions in manufacturing systems caused by system changes and disturbances reduce the productivity, and increase the downtime as well as the cost of products. To cope with these challenges, new strategies and technologies have been applied to build an adaptive manufacturing system, namely autonomous manufacturing system (AMS). In the AMS, workpieces, machines, robots, and transporters are the autonomous entities. They have an ability to identify their status and capability autonomously, to collect data, and to take decisions according to the changes of the manufacturing system. In order to implement the AMS, the agent and cognitive technologies were chosen. The AMS needs autonomy and cooperation for solving problems of agents from agent technology. The AMS also needs cognitive capabilities for agents based on cognitive technology. As a result, smarter agents with the cognitive abilities were applied. This paper presents a synthetic method of the two proposed technologies for building autonomous control entities, namely cognitive agents, which control the manufacturing system for adapting to disturbances. The cognitive agents with characteristics of intelligence, autonomy, and communication were proposed to develop the AMS.