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Doctor of Philosophy（Knowledge Science） >
R05) (Jun.2023 - Mar.2024 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/18817
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| Title: | フローショップ環境における生産再スケジューリングのためのハイブリッド手法 |
| Authors: | Pakkaporn, Saophan |
| Authors(alternative): | ぱっかぽーん, さおふぁん |
| Keywords: | production rescheduling
machine failure
flow shop production
genetic algorithm
artificial neural network |
| Issue Date: | Dec-2023 |
| Description: | Supervisor: HUYNH, Van Nam
先端科学技術研究科
博士 |
| Title(English): | A Hybrid Methodology for Production Rescheduling in Flow Shop Environment |
| Authors(English): | Pakkaporn, Saophan |
| Language: | eng |
| URI: | http://hdl.handle.net/10119/18817 |
| Academic Degrees and number: | 甲第1433号 |
| Degree-granting date: | 2023-12-22 |
| Degree name: | 博士(知識科学) |
| Degree-granting institutions: | 北陸先端科学技術大学院大学 |
| Appears in Collections: | D-KS. 2023年度(R05) (Jun.2023 - Mar.2024)
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Files in This Item:
| File |
Description |
Size | Format |
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| abstract.pdf | 要旨 | 64Kb | Adobe PDF | View/Open | | paper.pdf | 本文 | 1296Kb | Adobe PDF | View/Open | | summary.pdf | 内容の要旨及び論文審査の結果の要旨 | 182Kb | Adobe PDF | View/Open |
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