Multiobjective production and distribution network optimization in fuzzy stochastic environments
| Project/Area Number |
24510190
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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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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Hiroshima University |
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Principal Investigator |
KATAGIRI Hideki 広島大学, 工学(系)研究科(研究院), 准教授 (40325147)
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| Co-Investigator(Kenkyū-buntansha) |
KATO Kosuke 広島工業大学, 情報学部, 教授 (00263731)
UNO Takeshi 徳島大学, 大学院ソシオ・アーツ・アンド・サイエンス研究部, 准教授 (50363023)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | ファジィ / 確率 / 最適化 / ネットワーク / 生産物流 / 多目的 / 競合 |
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| Outline of Final Research Achievements |
In this research, we have considered multiobjective production and distribution network optimization problems in fuzzy stochastic environments. We have formulated multi-objective problem in which the coefficients of the problems, such as production costs, transportation costs and demands, are represented with fuzzy random variables and random fuzzy variables, and so on. We have defined the concepts of new optimal solutions which take account of the ambiguity contained in the knowledge of experts as well as the randomness related to stochastic factors, on the basis of both the possibility theory and probability theory. We developed efficient algorithms for obtaining the newly defined solutions.
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Report
(4 results)
Research Products
(25 results)
