Cloud Based Decision Making for Multi-agent Production Systems

Hamood Ur Rehman, Terrin Pulikottil, Luis Alberto Estrada-Jimenez, Fan Mo, Jack C. Chaplin, Jose Barata, Svetan Ratchev

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The use of multi-agent systems (MAS) as a distributed control method for shop-floor manufacturing control applications has been extensively researched. MAS provides new implementation solutions for smart manufacturing requirements such as the high dynamism and flexibility required in modern manufacturing applications. MAS in smart manufacturing is becoming increasingly important to achieve increased automation of machines and other components. Emerging technologies like artificial intelligence, cloud-based infrastructures, and cloud computing can also provide systems with intelligent, autonomous, and more scalable solutions. In the current work, a decision-making framework is proposed based on the combination of MAS cloud computing, agent technology, and machine learning. The framework is demonstrated in a quality control use case with vision inspection and agent-based control. The experiment utilizes a cloud-based machine learning pipeline for part classification and agent technology for routing. The results show the applicability of the framework in real-world scenarios bridging cloud service-oriented architecture with agent technology for production systems.

Original languageEnglish
Title of host publicationProgress in Artificial Intelligence - 20th EPIA Conference on Artificial Intelligence, EPIA 2021, Proceedings
EditorsGoreti Marreiros, Francisco S. Melo, Nuno Lau, Henrique Lopes Cardoso, Luís Paulo Reis
PublisherSpringer Science and Business Media Deutschland GmbH
Pages673-686
Number of pages14
ISBN (Print)9783030862299
DOIs
Publication statusPublished - 2021
Event20th EPIA Conference on Artificial Intelligence, EPIA 2021 - Virtual, Online
Duration: 7 Sep 20219 Sep 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12981 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th EPIA Conference on Artificial Intelligence, EPIA 2021
CityVirtual, Online
Period7/09/219/09/21

Keywords

  • Cloud computing
  • Machine learning
  • Multi-agent
  • Production systems

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