疫情期间模糊随机应急物资库存问题
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Problem of Fuzzy Random Emergency Materials Inventory during the Epidemic Period
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    摘要:

    针对新冠肺炎疫情这个突发性事件提出了在一定服务水平下总损失最小的库存模型;由新冠肺炎疫情的发展趋势不确定性以及其需求的应急物资也无法确定具体数量,引入了可信性理论,结合疫情特点在模糊区间建立的库存模型实际操作性较强;通过给出低成本应急物资以及高成本应急物资的算例,运用MATLAB软件计算出相应结果并结合数据图形分析,可以得到在考虑服务水平时总损失最小的最优订购策略;新冠肺炎疫情这个特殊的突发事件导致了需求无法完全照搬前人的经验来建立物资库存,模糊数是一个大致范围,在尽可能缩小需求范围的情况下可以达到高效率、低损失的期望,能够更好管理应急物资的库存。

    Abstract:

    COVID-19 is a new type of virus, in its initial period, its infection characteristics can not be completely determined, which cause that its infection scale and development trend can not be accurately estimated, therefore, aiming at the emergency of COVID-19, this paper proposes a inventory model with the smallest total loss under certain service level. Because of the uncertainty of COVID-19 epidemic development trend, the real quantity of its emergency materials can not be determined, therefore, credibility theory is introduced, the real operation of the inventory model established in fuzzy interval by combining the epidemic characteristics is strong. By giving the calculating examples of low cost emergency supplies and high cost emergency supplies, by using MATLAB software to calculate the corresponding results and to analyze the data and the graphics, the optimal ordering strategy with the minimum total loss when considering the service level can be obtained. The special emergency of COVID-19 causes the demand unable to completely copy the experience of the predecessors to set up material inventory, however, the fuzzy number is a rough range, as a result, the expectation of high efficiency and low loss can be achieved under the narrowing of the demand range as much as possible, the emergency material inventory can be better managed.

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曾陈锐.疫情期间模糊随机应急物资库存问题[J].重庆工商大学学报(自然科学版),2021,38(3):79-85
ZENG Chen-rui. Problem of Fuzzy Random Emergency Materials Inventory during the Epidemic Period[J]. Journal of Chongqing Technology and Business University(Natural Science Edition),2021,38(3):79-85

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  • 在线发布日期: 2021-05-28
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