Dynamic Resource Allocation Using Multi-Agent Control for Manufacturing Systems

被引：10
|
作者：
Bi, Mingjie [1 ]
Kovalenko, Ilya [2 ]
Tilbury, Dawn M. [1 ,2 ]
Barton, Kira [1 ,2 ]
机构：
[1] Univ Michigan, Robot Inst, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
来源：
IFAC PAPERSONLINE | 2021年 / 54卷 / 20期
基金：
美国国家科学基金会;
关键词：
Flexible manufacturing systems; agents; resource allocation; coordination; discrete-event dynamic systems; PRODUCT AGENT; ARCHITECTURE;
D O I：
10.1016/j.ifacol.2021.11.220
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The COVID-19 pandemic brings highly dynamic effects to manufacturing environments, such as frequently shifting markets and unexpected disruptions. Such dynamic environments increase the demand for flexible and real-time manufacturing decision -making strategies. One essential problem is dynamic resource allocation to complete production tasks, especially when a resource disruption (e.g. machine breakdown) occurs. Multi -agent frameworks have been proposed to improve the flexibility and responsiveness of manufacturing systems in a distributed decision -making manner. This work introduces a clustering method based on resource agent (RA) capabilities and an RA coordination strategy that enables dynamic resource reallocation when the manufacturing system is subject to resource disruptions. Copyright (C) 2021 The Authors.
引用
收藏
页码：488 / 494
页数：7
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