| Project/Area Number |
18K11179
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 60020:Mathematical informatics-related
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| Research Institution | Keio University (2019-2023)
Yokohama National University (2018) |
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Principal Investigator |
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| Project Period (FY) |
2018-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2021: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2020: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2019: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | サプライチェイン / 均衡問題 / 変分不等式問題 / 相補性問題 / サプライチェインネットワーク / 多段階最適化 / ネットワーク最適化 / 数値開放アルゴリズム / ロバスト最適化 / 数値解法アルゴリズム / 均衡分析 |
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| Outline of Final Research Achievements |
Supply Chain Management (hereafter referred to as SCM) is a central research topic in the current field of management science. Mathematical models aiming for overall optimization in Supply Chain Networks (hereafter referred to as SCN) have been studied for a long time, but research on competitive SCNs has not advanced as much as its importance would suggest. In this study, we focus on formulating competitive situations in SCNs as equilibrium problems, particularly addressing "equilibrium problems in SCNs with uncertainties," "equilibrium problems in SCNs considering service," and "equilibrium problems in SCNs with complex structures and constraints".
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| Academic Significance and Societal Importance of the Research Achievements |
SCNにおける数理モデルの研究は古くからあるが，ネットワークの複雑化やIoT技術の活用による構造の変化によって，新たなモデルの構築が必要となっている．上述した３つの研究課題(SCNの不確実性，サービス，複雑化)は，現在，通常の(SCNの全体最適化としての)数理モデルの研究は盛んであるものの，競合的なSCNの研究は，それほど多くなく，本研究によって得られた知見は，より良いサプライチェインの構築や既存のサプライチェインのボトルネックの解消などに貢献することが期待できる．
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