Potential of a Multi-Agent System Approach for Production Control in Smart Factories

被引：25

作者：

Leusin, Matheus E. ^{[1
]}

Kueck, Mirko ^{[2
]}

Frazzon, Enzo M. ^{[1
]}

Maldonado, Mauricio U. ^{[1
]}

Freitag, Michael ^{[2
,3
]}

机构：

[1] Univ Fed Santa Catarina, Ind & Syst Engn Dept, Florianopolis, SC, Brazil

[2] Univ Bremen, Bremer Inst Prod & Logist GmbH, BIBA, Bremen, Germany

[3] Univ Bremen, Fac Prod Engn, Bremen, Germany

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 11期

关键词：

Multi-Agent Systems; Smart Factory; Production Planning and Control; Case Study; Data Exchange; SHOP SCHEDULING PROBLEM; AGENT-BASED SYSTEMS; MANUFACTURING SYSTEMS; INTELLIGENT AGENTS; ALGORITHM; PROTOCOLS;

D O I：

10.1016/j.ifacol.2018.08.309

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Digitalization and Industry 4.0 allow for the development of new approaches to deal with classic industrial problems, such as production planning and control. In this context, Multi-Agent Systems (MAS) are a promising approach to exploit the new technologies in order to achieve improved planning and control performance. This paper applies a MAS approach to control the production in job shop manufacturing systems. Within a simulation study based on a real industrial case, the approach achieved a good performance compared to the standard scheduling approach applied by the considered company. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：1459 / 1464

页数：6

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