Logistics Orchestration Modeling and Evaluation for Humanitarian Relief

• Main Authors: LAU, Hoong Chuin, LI, Zhengping, DU, Xin, JIANG, Heng, DE SOUZA, Robert
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Agent-based model; humanitarian logistics; optimization; orchestration; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/2805; https://ink.library.smu.edu.sg/context/sis_research/article/3805/viewcontent/LogisticsOrchestrationModeling_forHumanitarian_2012.pdf
• Institution: Singapore Management University

This paper proposes an orchestration model for post-disaster response that is aimed at automating the coordination of scarce resources that minimizes the loss of human lives. In our setting, different teams are treated as agents and their activities are "orchestrated" to optimize rescue performance. Results from simulation are analysed to evaluate the performance of the optimization model.