Abstract:

In-kind donations are one of the crucial ways for social forces to participate in disaster emergency relief. However， many inefficient and ineffective in-kind donations can take up a lot of resources and staffing of emergency management departments， leading to the aggregation effect of materials， which in turn affects the development of emergency relief work. The current difficulty in managing in-kind donations is how to screen and sort mixed types of materials and control the adverse effects caused by poor quality and ineffective donations. In this paper， an optimization strategy for screening and sorting in-kind donations is proposed based on information entropy to address the question of when emergency management departments should accept in-kind donations. Furthermore， how can allocate resources to handle in-kind donations achieve optimal results？ These are two critical questions in in-kind donations for emergency management. A stepwise sorting system model for in-kind donations is constructed by comparing mixed information， corresponding judgment thresholds are given for judging sorting strategies such as rejection， error screening， and complete screening， and the effects of different covariates on each threshold are analyzed. Finally， by designing a stochastic sorting algorithm and an optimization algorithm under resource constraints， case studies on the proposed model are conducted to verify the accuracy and feasibility of the proposed control criteria.

Key words: disaster emergency, in-kind donation, information value, material distribution, information entropy