A study on real-time scheduling for holonic manufacturing systems - Determination of utility values based on multi-agent reinforcement learning

Koji Iwamura, Norihisa Mayumi, Yoshitaka Tanimizu, Nobuhiro Sugimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper deals with a real-time scheduling method for holonic manufacturing systems (HMS). In the previous paper, a real-time scheduling method based on utility values has been proposed and applied to the HMS. In the proposed method, all the job holons and the resource holons firstly evaluate the utility values for the cases where the holon selects the individual candidate holons for the next machining operations. The coordination holon secondly determine a suitable combination of the resource holons and the job holons which carry out the next machining operations, based on the utility values. Multi-agent reinforcement learning is newly proposed and implemented to the job holons and the resource holons, in order to improve their capabilities for evaluating the utility values of the candidate holons. The individual job holons and resource holons evaluate the suitable utility values according to the status of the HMS, by applying the proposed learning method.

Original languageEnglish
Title of host publicationHolonic and Multi-Agent Systems for Manufacturing - 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009, Proceedings
Pages135-144
Number of pages10
DOIs
Publication statusPublished - 2009 Sep 28
Externally publishedYes
Event4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009 - Linz, Austria
Duration: 2009 Aug 312009 Sep 2

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5696 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009
CountryAustria
CityLinz
Period09/8/3109/9/2

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Keywords

  • Coordination
  • Holonic Manufacturing Systems
  • Multi-agent Reinforcement Learning
  • Real-time Scheduling

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Iwamura, K., Mayumi, N., Tanimizu, Y., & Sugimura, N. (2009). A study on real-time scheduling for holonic manufacturing systems - Determination of utility values based on multi-agent reinforcement learning. In Holonic and Multi-Agent Systems for Manufacturing - 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2009, Proceedings (pp. 135-144). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5696 LNAI). https://doi.org/10.1007/978-3-642-03668-2_13