一种改进的应急物流网络选址模型

Ming Liu
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摘要

在应对突发疫情时,应急物流网络设计至关重要。在本研究中,我们提出了一个改进的地点分配模型,重点是最大化应急服务水平(ESL)。我们将该问题化为一个混合整数非线性规划模型(MINLP),并开发了求解该模型的有效算法。数值试验表明,该模型能够为控制突发疫情提供切实可行的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Location-allocation Model for Emergency Logistics Network Design
Emergency logistics network design is extremely important when responding to an unexpected epidemic pandemic. In this study, we propose an improved location-allocation model with an emphasis on maximizing the emergency service level (ESL). We formulate the problem to be a mixed-integer nonlinear programming model (MINLP) and develop an effective algorithm to solve the model. The numerical test shows that our model can provide tangible recommendations for controlling an unexpected epidemic.
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