| Project/Area Number |
17K01271
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Social systems engineering/Safety system
|
|---|
| Research Institution | Aoyama Gakuin University (2019)
Tokyo University of Science (2017-2018) |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
田中 未来 統計数理研究所, 数理・推論研究系, 助教 (40737053)
|
|---|
| Project Period (FY) |
2017-04-01 – 2020-03-31
|
| Project Status |
Completed (Fiscal Year 2019)
|
| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
|---|
| Keywords | 数理最適化 / ロジスティクス / 船舶海洋工学 / 高性能計算 / 海上輸送 / 数理工学 |
|---|
| Outline of Final Research Achievements |
A mathematical optimization model for ship routing to minimize fuel consumption was developed, and a computational algorithms to derive its solution was developed. In doing so, we developed a framework incorporate a nonlinear fuel consumption model to accommodate various ship types with different fuel consumption characteristics. Furthermore, we have developed a method to integrate this ship routing method with a ship scheduling model to realize efficient operation of the entire fleet. This makes it possible to operate each vessel in the fleet efficiently and reduce the environmental impact of individual voyages at the same time.
|
| Academic Significance and Societal Importance of the Research Achievements |
海上での物資輸送における重要な意思決定として，船舶スケジューリングと航路計画が挙げられる．これらの問題は，海上で物資を輸送する複数の船舶を効率的に運用するためのものである．このスケジューリング・計画として良いものができれば，船舶運航による環境負荷を低減できると同時に，船隊として輸送能力を高く保つことができる。本研究では，数理最適化モデルを用いてこのための方法を開発した．
|
