Addressing Production System Failures Using Multi-agent Control

Output in high-volume production facilities is limited by bottleneck machines. We propose a control mechanism by modeling workstations as agents that pull jobs from other agents based on their current WIP level and requirements. During failures, when flows of some jobs are disrupted, the agents pull...

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Bibliographic Details
Main Authors: Rajesh GAUTAM, Kazuo MIYASHITA
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2007-04-01
Series:Journal of Advanced Mechanical Design, Systems, and Manufacturing
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/jamdsm/1/2/1_2_205/_pdf/-char/en
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author Rajesh GAUTAM
Kazuo MIYASHITA
author_facet Rajesh GAUTAM
Kazuo MIYASHITA
author_sort Rajesh GAUTAM
collection DOAJ
description Output in high-volume production facilities is limited by bottleneck machines. We propose a control mechanism by modeling workstations as agents that pull jobs from other agents based on their current WIP level and requirements. During failures, when flows of some jobs are disrupted, the agents pull alternative jobs to maintain utilization of their capacity at a high level. In this paper, we empirically demonstrate that the proposed mechanism can react to failures more appropriately than other control mechanisms using a benchmark problem of a semiconductor manufacturing process.
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spelling doaj.art-94093096f833448f9fcdb7c1afd8a2ae2022-12-22T03:39:23ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542007-04-011220521610.1299/jamdsm.1.205jamdsmAddressing Production System Failures Using Multi-agent ControlRajesh GAUTAM0Kazuo MIYASHITA1University of TsukubaNational Institute of Advanced Industrial Science and Technology (AIST)Output in high-volume production facilities is limited by bottleneck machines. We propose a control mechanism by modeling workstations as agents that pull jobs from other agents based on their current WIP level and requirements. During failures, when flows of some jobs are disrupted, the agents pull alternative jobs to maintain utilization of their capacity at a high level. In this paper, we empirically demonstrate that the proposed mechanism can react to failures more appropriately than other control mechanisms using a benchmark problem of a semiconductor manufacturing process.https://www.jstage.jst.go.jp/article/jamdsm/1/2/1_2_205/_pdf/-char/enmultiagent systemsproduction controlartificial intelligence
spellingShingle Rajesh GAUTAM
Kazuo MIYASHITA
Addressing Production System Failures Using Multi-agent Control
Journal of Advanced Mechanical Design, Systems, and Manufacturing
multiagent systems
production control
artificial intelligence
title Addressing Production System Failures Using Multi-agent Control
title_full Addressing Production System Failures Using Multi-agent Control
title_fullStr Addressing Production System Failures Using Multi-agent Control
title_full_unstemmed Addressing Production System Failures Using Multi-agent Control
title_short Addressing Production System Failures Using Multi-agent Control
title_sort addressing production system failures using multi agent control
topic multiagent systems
production control
artificial intelligence
url https://www.jstage.jst.go.jp/article/jamdsm/1/2/1_2_205/_pdf/-char/en
work_keys_str_mv AT rajeshgautam addressingproductionsystemfailuresusingmultiagentcontrol
AT kazuomiyashita addressingproductionsystemfailuresusingmultiagentcontrol