Robust Network Design with Supply and Demand Uncertainties in Humanitarian Logistics

• DAS Rubel

  Graduate School of Science and Engineering, Tokyo Institute of Technology

• HANAOKA Shinya

  Graduate School of Science and Engineering, Tokyo Institute of Technology

抄録

Humanitarian logistics has gain attention as an important tool in disaster management. We propose a network design for relief distribution under several uncertain parameters based on robust optimization. The model has the solution robustness and model robustness properties. Furthermore, we present a methodology to reduce the number of variables when an equality constraint and objective function contain same variables. Our model attempts to minimize total cost of the system as well as the variance of total cost. We examine a case study on the earthquake scenarios in Bangladesh to show the applicability of the model. Our findings show that the model is robust in relief distribution planning. We analyze sensitivity of several parameters and compare several models to show the superiority of stochastic model.

収録刊行物

• Journal of the Eastern Asia Society for Transportation Studies

  Journal of the Eastern Asia Society for Transportation Studies 10 (0), 954-969, 2013

  Eastern Asia Society for Transportation Studies

キーワード

• Bangladesh
• Humanitarian Logistics
• Relief
• Robust
• Uncertainty

詳細情報

• CRID: 1390001205290221696
• NII論文ID: 130003384865
• DOI: 10.11175/easts.10.954
• ISSN: 18811124
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可