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

研究成果: Article

1 引用 (Scopus)

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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.

元の言語English
ページ(範囲)663-678
ページ数16
ジャーナルJournal of Global Optimization
60
発行部数4
DOI
出版物ステータスPublished - 2014 1 1
外部発表Yes

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Applied Mathematics

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