Risk-control approach for bottleneck transportation problem with randomness and fuzziness

Takashi Hasuike*

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

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
ページ(範囲)663-678
ページ数16
ジャーナルJournal of Global Optimization
60
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

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