Relief inventory model of humanitarian logistics in natural disaster

• Project/Area Number: 24510184
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: HANAOKA Shinya 東京工業大学, 理工学研究科, 准教授 (90467027)
• Co-Investigator(Kenkyū-buntansha): KAWASAKI Tomoya 日本大学, 理工学部, 助教 (30705702)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Project Status: Completed (Fiscal Year 2014)
• Budget Amount: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000); Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2012: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
• Keywords: 人道支援ロジスティクス / 不確実性 / エージェント・ベース・モデル / 支援物資拠点配置 / 支援物資配送 / 支援物資発注 / 人道援助ロジスティクス / 救援物資拠点配置 / 救援物資配送 / 救援物資発注 / エージェントベースモデル / TOPSIS法 / 欠乏費用 / 緊急支援物資配分計画 / 国際情報交換

Outline of Final Research Achievements

Humanitarian Logistics (HL) becomes an underpinning task of disaster management for relief planning. This study provides three sequential mathematical models for relief operation to illustrate response strategies after earthquake. The three models are (i) Network model in pre-disaster stage, (ii) Relief allocation in response stage and (iii) Relief ordering in response stage. The first network model integrates the pre- and post-disaster situations and comprises two mathematical formulations. The second model explains relief allocation in the domain of stakeholder's behavior in HL. The seemingly different objectives of stakeholders are integrated in the framework of an agent-based model. The third model analyzes the inventory ordering policy with given logistics network. The model combines two stochastic variables that are lead time and demand.

Research Products

• [Journal Article] Relief inventory modelling with stochastic lead-time and demand (2014)
  • Author(s): Rubel Das, Shinya Hanaoka
  • Journal Title: European Journal of Operational Research Volume: 235(3) Issue: 3 Pages: 616-623
  • DOI: 10.1016/j.ejor.2013.12.042
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] An agent-based model for resource allocation during relief distribution (2014)
  • Author(s): Rubel Das, Shinya Hanaoka
  • Journal Title: Journal of Humanitarian Logistics and Supply Chain Management Volume: 4(2) Issue: 2 Pages: 265-285
  • DOI: 10.1108/jhlscm-07-2013-0023
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Relief inventory modelling with stochastic lead-time and demand (2014)
  • Author(s): Rubel Das and Shinya Hanaoka
  • Journal Title: European Journal of Operational Research Volume: 235 Pages: 616-623
  • Peer Reviewed
• [Journal Article] Robust network design with supply and demand uncertainties in humanitarian logistics (2013)
  • Author(s): Rubel Das and Shinya Hanaoka
  • Journal Title: Journal of the Eastern Asia Society for Transportation Studies Volume: 10 Pages: 954-969
  • Peer Reviewed
• [Journal Article] Prepositioning Aid for Asia and Oceania (2012)
  • Author(s): Das, R. and Hanaoka, S.
  • Journal Title: 4th International Conference on Transportation and Logistics (T-LOG 2012) Volume: 4
• [Journal Article] Risk based humanitarian logistics network design (2012)
  • Author(s): Das, R. and Hanaoka, S.
  • Journal Title: 土木計画学研究・講演集 Volume: 45
• [Presentation] Relief distribution planning using a agent-based model (2013)
  • Author(s): Rubel Das and Shinya Hanaoka
  • Organizer: 土木計画学会
  • Place of Presentation: 広島工業大学
• [Presentation] Prepositioning Aid for Asia and Oceania (2012)
  • Author(s): Das, R. and Hanaoka, S.
  • Organizer: 4th International Conference on Transportation and Logistics (T-LOG 2012)
  • Place of Presentation: Korea Maritime University, Busan, Korea
• [Presentation] Risk based humanitarian logistics network design (2012)
  • Author(s): Das, R. and Hanaoka, S.
  • Organizer: 第45回土木計画学研究発表会
  • Place of Presentation: 京都大学