Development of Autonomous Distributed Production Scheduling Method for Smart Factory
| Project/Area Number |
15K21144
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Production engineering/Processing studies
Information network
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| Research Institution | Osaka University |
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Principal Investigator |
Morinaga Eiji 大阪大学, 工学研究科, 助教 (80432508)
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| Research Collaborator |
NAKAMURA Tomomi
MIYASHITA Ken
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 自律分散型生産スケジューリング / 優先規則 / 高度分散生産システム / 高度分散生産スケジューリング / 差立規則 / 生産シミュレーション / 最適化 / 生産スケジューリング / ディスパッチングルール / 自律分散システム / フレキシブルジョブショップ |
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| Outline of Final Research Achievements |
For highly-distributed manufacturing systems, a set of methods of production scheduling have been developed, where scheduling based on priority rules is performed only by message exchanges among facilities and local decision makings in each facility. A method for using the scheduling methods and the highly-distributed simulation method in tandem has been also developed for seamless detailed evaluation of the generated schedule. These accomplishments have realized a new environment of production management, where a planner adjusts the priority rules and the highly-distributed manufacturing system by itself generates a production schedule based on the rules and evaluates the schedule by performing simulation.
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Report
(4 results)
Research Products
(6 results)
