摘要

In this paper, we focus on emergency resource allocation and emergency distribution problem in the aftermath of a large-scale disaster. We analyze some unique features of emergency response management and then we develop a series of models to capture these features. Firstly, we propose an exponential utility and delay cost function to model the time pressure feature of life saving and human suffering reduction. Secondly, we use a time-space network to capture the dynamic nature of the available supply and the demand requirement, which allows for the real-time information updated in each decision-making epoch. Thirdly, we develop an integrated model by jointing the utilitybased resource allocation model with the time-space-based distribution model. Finally, we use numerical examples to illustrate the effectiveness and usefulness of the proposed model.

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