2022 Fiscal Year Research-status Report
Seru Production and its Applications to Smart Manufacturing
| Project/Area Number |
20K01897
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| Research Institution | Doshisha University |
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Principal Investigator |
殷 勇 同志社大学, ビジネス研究科, 教授 (50344776)
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| Co-Investigator(Kenkyū-buntansha) |
伊藤 嘉浩 長岡技術科学大学, 工学研究科, 教授 (60436235)
野田 英雄 東京理科大学, 経営学部ビジネスエコノミクス学科, 教授 (90347724)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | seru production / smart manufacturing |
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| Outline of Annual Research Achievements |
In accordance with our research proposal, we have successfully generated an array of problems related to seru formation and loading by varying different input elements. These problem sets were used to analyze computational complexities, identifying whether each problem was NP-hard or polynomial and determining its convexity. As anticipated, the majority of the seru problems were NP-hard and non-convex. For the NP-hard problems, we found achievable approximation ratios and subsequently developed polynomial algorithms to obtain solutions with optimal approximation ratios. For non-convex problems, we designed algorithms that can converge to local optimal results.
The process of constructing mathematical models necessitated the identification of key elements relevant to smart manufacturing. These elements were derived from various sources, such as industrial conferences like the Annual Conference of Japan Institute of Industrial Engineering, studying industrial cases in Japanese and English journals and magazines, and engaging in discussions with our MBA students who have direct factory experience.
In conclusion, the work undertaken over the past year represents significant strides in analyzing and modeling seru formation and loading problems. We've adopted a systematic approach that leverages a broad array of input variables to generate detailed mathematical models. We remain committed to the ongoing exploration of this subject, and we look forward to the breakthroughs that the coming year will bring.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Just as planned.
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| Strategy for Future Research Activity |
This year is the final year.
Several papers will be submitted to journals.
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| Causes of Carryover |
次年度使用額が生じた理由: ２０２２年度は専攻長なので、忙しかったので、出張などはキャンセルしました。次年度使用額が生じてしまいました。
次年度使用計画: １．海外出張（欧米アジア）数回予定しています。２．GPU等を購入し、AIを用い、科学計算・スマート工場のシミュレーションを行う予定です。
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