抄録
Solving transportation problems is essential in engineering and supply chain management, where profitability depends on optimal traffic flow. This study proposes risk-control approaches for two bottleneck transportation problems with random variables and preference levels to objective functions with risk parameters. Each proposed model is formulated as a multiobjective programming problem using robust-based optimization derived from stochastic chance constraints. Since it is impossible to obtain a transportation pattern that optimizes all objective functions, our proposed models are numerically solved by introducing an aggregation function for the multiobjective problem. An exact algorithm that performs deterministic equivalent transformations and introduces auxiliary problems is also developed.
本文言語 | English |
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ページ(範囲) | 663-678 |
ページ数 | 16 |
ジャーナル | Journal of Global Optimization |
巻 | 60 |
号 | 4 |
DOI | |
出版ステータス | Published - 2014 12月 |
外部発表 | はい |
ASJC Scopus subject areas
- コンピュータ サイエンスの応用
- 経営科学およびオペレーションズ リサーチ
- 制御と最適化
- 応用数学