Enhancing FMS Performance through Multi-Agent Systems in the Context of Industry 4.0

被引:0
|
作者
Lefranc, Gaston [1 ]
Lopez-uarez, Ismael [2 ]
Gatica, Gabriel [3 ,4 ]
机构
[1] Pontificia Univ Catolica Valparaiso, 2950 Brasil, Valparaiso 2430000, Chile
[2] CINVESTAV, 1062 Ind Met,Parque Ind Saltillo Ramos Arizpe, Ramos Arizpe Coahuila 25900, Mexico
[3] ARTIFICYAN, Inteligencia Artificial, Ind 4-0, Vina Del Mar 2520000, Chile
[4] Univ Tecnol Metropolitana, 161 Dieciocho, Santiago 8330383, Region Metropol, Chile
来源
STUDIES IN INFORMATICS AND CONTROL | 2024年 / 33卷 / 02期
关键词
Flexible Manufacturing Systems (FMSs); Industry; 4.0; Multi-Agent Systems (MASs); Task Allocation; Multi- Robot Coordination; MANUFACTURING SYSTEMS;
D O I
10.24846/v33i2y202401
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Flexible Manufacturing Systems (FMSs) offer greater flexibility, efficiency, and automation in manufacturing. However, it remains a challenge to improve, manage and optimize production. This article explores the use of Multi-Agent Systems (MASs) as a tool to address these challenges. A review of recent advances in the application of MAS to FMS and Industry 4.0 is made, including dynamic assignment of tasks to robots based on real-time conditions; coordination of multiple robots, allowing collaboration between them to improve performance; and adaptability to changing environments, allowing the system to adjust to dynamic production demands and unforeseen situations. A case study that demonstrates the application of MAS for cooperative decision-making in a three-robot FMS system is presented. It is appropriate for improving efficiency, flexibility, coordination, and overall decision-making capabilities within a FMS environment. With this, MAS enables production optimization, leading to smarter, more adaptable, and more efficient manufacturing processes.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Explainable Multi-Agent Systems Through Blockchain Technology
    Calvaresi, Davide
    Mualla, Yazan
    Najjar, Amro
    Galland, Stephane
    Schumacher, Michael
    EXPLAINABLE, TRANSPARENT AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, EXTRAAMAS 2019, 2019, 11763 : 41 - 58
  • [42] Emergence of Writing Systems through Multi-Agent Cooperation
    Verma, Shresth
    Dhar, Joydip
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 13941 - 13942
  • [43] Multi-Agent Systems
    Julian, Vicente
    Botti, Vicente
    APPLIED SCIENCES-BASEL, 2019, 9 (07):
  • [44] Multi-agent systems
    Talukdar, S
    2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2, 2004, : 59 - 60
  • [45] Multi-agent Systems in Industry: Current Trends & Future Challenges
    Leitao, Paulo
    BEYOND ARTIFICIAL INTELLIGENCE: CONTEMPLATIONS, EXPECTATIONS, APPLICATIONS, 2013, 4 : 197 - 201
  • [46] Design considerations for the implementation of multi-agent systems in the dairy industry
    Parrott, L
    Lacroix, R
    Wade, KM
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2003, 38 (02) : 79 - 98
  • [47] Multi-agent systems
    Unland, R
    Denzinger, J
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2005, 20 (04): : 223 - 224
  • [48] MULTI-AGENT SYSTEMS
    Pirnau, Mironela
    METALURGIA INTERNATIONAL, 2008, 13 (02): : 39 - 44
  • [49] Performance Competition in Cooperative Capturing by Multi-agent Systems
    Tsumura, K.
    Hara, S.
    Sakurai, K.
    Kim, T-H
    2010 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, 2010, : 2041 - 2046
  • [50] Performance Measure of Hierarchical Structures for Multi-agent Systems
    Ali Raza
    Muhammad Iqbal
    Jun Moon
    Shun-Ichi Azuma
    International Journal of Control, Automation and Systems, 2022, 20 : 780 - 788