Multi-agent distributed collaborative method for flexible job shop scheduling problem

Shi Yang*, Yong Xu*, Qi Zheng, Yuhu Zhu, Hongyu Zhang, Kangrui Zhai

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In the production of modern job shops, there are problems such as low-automation, low-collaboration, and immature-flexible. In this situation, most researches on flexible job shop scheduling problem are mainly centralized, and few researches are distributed. Compared with centralized methods, distributed methods has the advantages of high scalability and adaptability. Therefore, this paper proposes a distributed collaboration method for two kinds of agents (processing robots and automatic guided vehicles) to complete the flexible job shop's tasks through self-organization and collaboration. The paper designs a variety of typical examples and various criteria, using simulation methods to prove that the distributed collaboration method can effectively complete all kinds of complex processing tasks in the job shop while reducing the computational burden of the computer.

Original languageEnglish
Title of host publicationProceedings - 2022 37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages133-138
Number of pages6
ISBN (Electronic)9781665465366
DOIs
Publication statusPublished - 2022
Event37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022 - Beijing, China
Duration: 19 Nov 202220 Nov 2022

Publication series

NameProceedings - 2022 37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022

Conference

Conference37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022
Country/TerritoryChina
CityBeijing
Period19/11/2220/11/22

Keywords

  • Multi-agent
  • distributed
  • flexible job shop
  • self-organization and collaboration

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