Integrated Dynamic Process Planning and Scheduling in Flexible Manufacturing Systems via Autonomous Agents

Process planning and scheduling are important manufacturing planning activities which deal with resource utilization and time span of manufacturing operations. The process plans and the schedules generated in the planning phase shall be modified in the execution phase due to the disturbances in the...

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Main Authors: Hossein TEHRANI NIK NEJAD, Nobuhiro SUGIMURA, Koji IWAMURA, Yoshitaka TANIMIZU
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2008-07-01
Series:Journal of Advanced Mechanical Design, Systems, and Manufacturing
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/jamdsm/2/4/2_4_719/_pdf/-char/en
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author Hossein TEHRANI NIK NEJAD
Nobuhiro SUGIMURA
Koji IWAMURA
Yoshitaka TANIMIZU
author_facet Hossein TEHRANI NIK NEJAD
Nobuhiro SUGIMURA
Koji IWAMURA
Yoshitaka TANIMIZU
author_sort Hossein TEHRANI NIK NEJAD
collection DOAJ
description Process planning and scheduling are important manufacturing planning activities which deal with resource utilization and time span of manufacturing operations. The process plans and the schedules generated in the planning phase shall be modified in the execution phase due to the disturbances in the manufacturing systems. This paper deals with a multi-agent architecture of an integrated and dynamic system for process planning and scheduling for multi jobs. A negotiation protocol is discussed, in this paper, to generate the process plans and the schedules of the manufacturing resources and the individual jobs, dynamically and incrementally, based on the alternative manufacturing processes. The alternative manufacturing processes are presented by the process plan networks discussed in the previous paper, and the suitable process plans and schedules are searched and generated to cope with both the dynamic status and the disturbances of the manufacturing systems. We initiatively combine the heuristic search algorithms of the process plan networks with the negotiation protocols, in order to generate suitable process plans and schedules in the dynamic manufacturing environment. A simulation software has been developed to carry out case studies, aimed at verifying the performance of the proposed multi-agent architecture.
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spelling doaj.art-9d9f56c91a064b7aa0ab24c13331a5f82022-12-22T03:02:10ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542008-07-012471973410.1299/jamdsm.2.719jamdsmIntegrated Dynamic Process Planning and Scheduling in Flexible Manufacturing Systems via Autonomous AgentsHossein TEHRANI NIK NEJAD0Nobuhiro SUGIMURA1Koji IWAMURA2Yoshitaka TANIMIZU3Japan Society of Mechanical Engineering Graduate School of Engineering, Osaka Prefecture UniversityJapan Society of Mechanical Engineering Graduate School of Engineering, Osaka Prefecture UniversityJapan Society of Mechanical Engineering Graduate School of Engineering, Osaka Prefecture UniversityJapan Society of Mechanical Engineering Graduate School of Engineering, Osaka Prefecture UniversityProcess planning and scheduling are important manufacturing planning activities which deal with resource utilization and time span of manufacturing operations. The process plans and the schedules generated in the planning phase shall be modified in the execution phase due to the disturbances in the manufacturing systems. This paper deals with a multi-agent architecture of an integrated and dynamic system for process planning and scheduling for multi jobs. A negotiation protocol is discussed, in this paper, to generate the process plans and the schedules of the manufacturing resources and the individual jobs, dynamically and incrementally, based on the alternative manufacturing processes. The alternative manufacturing processes are presented by the process plan networks discussed in the previous paper, and the suitable process plans and schedules are searched and generated to cope with both the dynamic status and the disturbances of the manufacturing systems. We initiatively combine the heuristic search algorithms of the process plan networks with the negotiation protocols, in order to generate suitable process plans and schedules in the dynamic manufacturing environment. A simulation software has been developed to carry out case studies, aimed at verifying the performance of the proposed multi-agent architecture.https://www.jstage.jst.go.jp/article/jamdsm/2/4/2_4_719/_pdf/-char/enmulti agent systemintegrated process planning and schedulingreal time schedulingflexible manufacturing systempetri nets
spellingShingle Hossein TEHRANI NIK NEJAD
Nobuhiro SUGIMURA
Koji IWAMURA
Yoshitaka TANIMIZU
Integrated Dynamic Process Planning and Scheduling in Flexible Manufacturing Systems via Autonomous Agents
Journal of Advanced Mechanical Design, Systems, and Manufacturing
multi agent system
integrated process planning and scheduling
real time scheduling
flexible manufacturing system
petri nets
title Integrated Dynamic Process Planning and Scheduling in Flexible Manufacturing Systems via Autonomous Agents
title_full Integrated Dynamic Process Planning and Scheduling in Flexible Manufacturing Systems via Autonomous Agents
title_fullStr Integrated Dynamic Process Planning and Scheduling in Flexible Manufacturing Systems via Autonomous Agents
title_full_unstemmed Integrated Dynamic Process Planning and Scheduling in Flexible Manufacturing Systems via Autonomous Agents
title_short Integrated Dynamic Process Planning and Scheduling in Flexible Manufacturing Systems via Autonomous Agents
title_sort integrated dynamic process planning and scheduling in flexible manufacturing systems via autonomous agents
topic multi agent system
integrated process planning and scheduling
real time scheduling
flexible manufacturing system
petri nets
url https://www.jstage.jst.go.jp/article/jamdsm/2/4/2_4_719/_pdf/-char/en
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AT nobuhirosugimura integrateddynamicprocessplanningandschedulinginflexiblemanufacturingsystemsviaautonomousagents
AT kojiiwamura integrateddynamicprocessplanningandschedulinginflexiblemanufacturingsystemsviaautonomousagents
AT yoshitakatanimizu integrateddynamicprocessplanningandschedulinginflexiblemanufacturingsystemsviaautonomousagents