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一种基于顺序时间窗口开发的新调度方法,用于在地震后为应急物流分配急救药品。

A new scheduling method based on sequential time windows developed to distribute first-aid medicine for emergency logistics following an earthquake.

作者信息

Fang Jiaqi, Hou Hanping, Lu Changxiang, Pang Haiyun, Deng Qingshan, Ye Yong, Pan Lingle

机构信息

School of Economics and Management, Beijing Jiaotong University, Beijing, China.

School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou, Zhejiang, China.

出版信息

PLoS One. 2021 Feb 23;16(2):e0247566. doi: 10.1371/journal.pone.0247566. eCollection 2021.

Abstract

After an earthquake, affected areas have insufficient medicinal supplies, thereby necessitating substantial distribution of first-aid medicine from other supply centers. To make a proper distribution schedule, we considered the timing of supply and demand. In the present study, a "sequential time window" is used to describe the time to generate of supply and demand and the time of supply delivery. Then, considering the sequential time window, we proposed two multiobjective scheduling models with the consideration of demand uncertainty; two multiobjective stochastic programming models were also proposed to solve the scheduling models. Moreover, this paper describes a simulation that was performed based on a first-aid medicine distribution problem during a Wenchuan earthquake response. The simulation results show that the methodologies proposed in this paper provide effective schedules for the distribution of first-aid medicine. The developed distribution schedule enables some supplies in the former time windows to be used in latter time windows. This schedule increases the utility of limited stocks and avoids the risk that all the supplies are used in the short-term, leaving no supplies for long-term use.

摘要

地震过后,受灾地区医疗用品短缺,因此需要从其他供应中心大量调配急救药品。为制定合理的调配计划,我们考虑了供应和需求的时间安排。在本研究中,用“顺序时间窗”来描述供应和需求产生的时间以及供应送达的时间。然后,考虑顺序时间窗,我们提出了两个考虑需求不确定性的多目标调度模型;还提出了两个多目标随机规划模型来求解调度模型。此外,本文描述了基于汶川地震应急期间急救药品分配问题进行的模拟。模拟结果表明,本文提出的方法为急救药品的分配提供了有效的调度计划。制定的分配计划使前几个时间窗中的一些物资能在后面的时间窗中使用。该计划提高了有限库存的利用率,避免了所有物资在短期内用完而没有物资用于长期需求的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b46/7901742/c49e67878024/pone.0247566.g001.jpg

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