Multi-agent systems to improve efficiency in steelworks

主动性 灵活性(工程) 背景(考古学) 生产(经济) 多智能体系统 自治 资源效率 计算机科学 持续性 过程管理 资源(消歧) 风险分析(工程) 产业组织 业务 制造工程 工程类 人工智能 经济 宏观经济学 政治学 法学 管理 生物 计算机网络 生态学 古生物学
作者
Vincenzo Iannino,Valentina Colla,Claudio Mocci,Ismael Matino,Stefano Dettori,Sebastian Kolb,Thomas Plankenbühler,Jürgen Karl
出处
期刊:Matériaux et techniques [EDP Sciences]
卷期号:109 (5-6): 502-502 被引量:8
标识
DOI:10.1051/mattech/2022010
摘要

A multi-agent system consists of several computational entities capable of autonomous actions, called agents, which communicate with each other, and have the ability to coordinate their actions and to cooperate. Multi-agent systems received a great interest and attention over time, as they can be seen as a key enabling technology for complex applications, where distributed and processing of data, autonomy, and high degree of interactions in dynamic environments are required at the same time. Therefore, in view of current and future developments of the digitalization of industrial production cycles promoted by Industry 4.0, multi-agent systems are foreseen to play an increasing role for industrial production management and optimization. Because of barriers represented by large presence of legacy systems, in the steel sector agent-based technology is not widely applied yet, and multi-agent systems applications are very few. On the other hand, steel manufacturing industries are complex and dynamic systems whose production processes held a strategic role in the global economy. During last decades, the steel sector has undergone relevant transformations, especially through the massive digitalization and the innovation introduced by Industry 4.0. A further evolution is foreseen in the incoming years to improve the sustainability of the production cycle by improving energy and resource efficiency. Therefore, steel industries must face several challenges on the path toward the factory of the future. In such context multi-agent systems, through their intrinsic properties, such as autonomy, social abilities, reactivity, proactivity, and mobility, can overcome existing drawbacks and barriers, by increasing flexibility, improving resources efficiency, handling production operations, reacting to unpredicted events, optimizing production processes, and supporting legacy systems. In this paper, some applications of multi-agent systems in steel sector are presented to show the advantages and opportunities of agent-based technology.
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