[Retracted] Robust Two‐Stage Location Allocation for Emergency Temporary Blood Supply in Postdisaster

Abstract

Disaster medical rescue in China mainly adopts the “on-site rescue” model. Whether the location of emergency temporary blood supply sites is reasonable or not directly affects the rescue efficiency. The paper studies the robust location-allocation for emergency temporary blood supply after disaster. First, the factors of several candidate sites were quantified by the entropy-based TOPSIS method, and 12 candidate blood supply sites with higher priority were selected according to the evaluation indicators. At the same time, the uncertainty of blood demand at each disaster site increased the difficulty of decision-making, and then, a robust location model (MIRP) was constructed with minimum cost with time window constraints. It is also constrained by the uncertain demand for blood in three scenarios. Second, the survival probability function was introduced, and the time window limit was given at the minimum cost to maximize the survival probability of the suffered people. Finally, the numerical example experiments demonstrate that the increase in demand uncertainty and survival probability cause the MIRP model to generate more costs. Compared with the three MIRP models, the MIRP-ellipsoid set model gained better robustness. Also, given the necessary restrictions on the time window, the cost can be reduced by about 13% with the highest survival probability. Decision-makers can select different combinations of uncertainty levels and demand disturbance ratios and necessary time constraints to obtain the optimal location-allocation solution according to risk preference and actual conditions.

Construction of Emergency Procurement System and System Improvement Based on Convolutional Neural Network

“…Purchasing methods, contract conditions, payment conditions, and di erent technical level requirements are implemented in an orderly manner [21][22][23][24]. Especially in the case of emergency situations, during the procurement of emergency equipment, a series of procurement procedures such as application, approval, and transaction needs to be completed [25][26][27][28].…”

[Retracted] Construction of the Evaluation Index System for Nurse Deployment Pertaining to the Disaster Rescue

“…Although national experts have done a lot of research on the construction and deployment of disaster nurse teams, since the COVID-19 outbreak, countries around the world have demonstrated deficiencies in disaster preparedness. However, deployment of clinical nurses is directly related to disaster nursing ability [13][14][15][16]. Nurse deployment is the basis of rescue, and only reasonable and scientific nurse deployment can effectively treat disaster rescue and improve the quality of rescue [17][18][19].…”

[Retracted] Emergency Project Management Decision Support Algorithm for Network Public Opinion Emergencies Based on Time Series

“…Predicting and analyzing time series could be the main title that is implemented in the traffic finance, engineering, and complicated web fields. Analyzing time series could contribute to parsing the features of data and investigating possible information [9][10][11][12][13][14].…”