计算机科学
敏捷软件开发
匹配(统计)
任务(项目管理)
功能(生物学)
贝尔曼方程
分布式计算
生产(经济)
窗口(计算)
实时计算
工业工程
工程类
软件工程
数学优化
操作系统
系统工程
数学
宏观经济学
经济
统计
生物
进化生物学
作者
Zequn Zhang,Dunbing Tang,Haihua Zhu,Liping Wang,Qingwei Nie
标识
DOI:10.1177/09544054221099707
摘要
In the current manufacturing environment, orders began to show trends in small batches and multiple varieties. Production workshops are expected to be more flexible and agile. This paper proposes a dynamic control system for the processing workshop based on the multi-agent architecture. The workshop layer is divided into multiple “processing cells” according to function. Machine agents and part agents are designed to achieve distributed control. In this paper, disturbances caused by random tasks to production are considered. A dynamic task dispatching mechanism based on the scrolling time window is investigated. When dispatching events occur, the machine agents and part agents determine the connection value between them through negotiation. An arbitration agent is designed to implement the dispatching through value matching. Finally, an actual experiment is carried out to verify the effectiveness of this dynamic control system.
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