Robust Logistics Network Modeling and Design against Uncertainties
スポンサーリンク
概要
- 論文の詳細を見る
In design of logistics networks, it is inevitable to consider various forward factors that will often change from their reference values. With this point of view, this study formulates a global logistics network design problem under uncertainties and present a solution method in terms of the stochastic programming known as recourse model. To reduce the effort to solve the resulting problem, a scenario-base approach is adopted instead of considering infinite realizations of uncertain parameters and sample average approximation. Furthermore, we present a method to support decision-making on robust design under noisy environment in terms of the knowledge from multi-objective optimization. Numerical experiments revealed validity of the proposed method through comparison with the reference results.
論文 | ランダム
- 26pU-4 Ginzburg-Landau振動子ニューラルネットワークの記憶容量についての動的研究
- 6p-YD-12 ギンツブルグ-ランダウ振動子ニューラルネットワークの記憶容量についての解析
- 大域結合振動子系を模倣する大域結合位相写像系
- 4p-C-3 非線形振動子における多様な振動状態
- 免疫複合体・補体系 (腎疾患--小児科から・内科から)