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具有退货不确定性的闭环供应链中的急诊订单策略。

Order policy for emergency medicine with return uncertainty in a closed-loop supply chain.

机构信息

School of Economic and Management, Wuhan University, Wuhan, China.

School of Management, Shandong University, Jinan, China.

出版信息

PLoS One. 2018 Oct 25;13(10):e0205643. doi: 10.1371/journal.pone.0205643. eCollection 2018.

Abstract

Due to difficulties in accurately predicting the emergency timing and the magnitude of a disaster, operations for perishable emergency inventory planning often encounter expiration and shortage problems. In order to ease the expiration problem in emergency medicine preparation inventories, this paper investigates an emergency medicine closed-loop supply chain for returning unused items from an ERC (Emergency Reserve Center) to a hospital. To assure that the return strategy is meaningful, we propose a critical parameter that we term the latest return time, after which the remaining emergency medicine in the ERC cannot be returned to the hospital. In addition, the short lifetime of emergency products and uncertainty about demand time and demand quantity are also considered in this emergency inventory planning system. In analyzing the optimal ordering policies, we find that the two threshold values for the predefined return time, which affect the total costs, are not monotonous; rather, the direction of their effect is first down, then up, and then down again, which means that a better predefined value of the latest return time can be determined by minimizing total costs. By studying and comparing decentralized and centralized decisions, we find that the centralized decision system works better to control expiration and costs. Therefore, we design a coordination mechanism for the cooperation between the ERC and the hospital. Our analysis shows that we should not ignore the emergency uncertainty and perishability of emergency items.

摘要

由于准确预测灾害的紧急时间和规模存在困难,易腐应急库存规划的运作经常会遇到过期和短缺问题。为了缓解应急医学准备库存中的过期问题,本文研究了一个从应急储备中心(ERC)向医院返回未使用物品的应急医学闭环供应链。为了确保返回策略有意义,我们提出了一个关键参数,即我们所谓的最晚返回时间,超过这个时间,ERC 中剩余的应急药品就无法再返还给医院。此外,在这个应急库存规划系统中还考虑了应急产品的短生命周期以及需求时间和数量的不确定性。在分析最优订购策略时,我们发现预设返回时间的两个阈值(影响总成本)的影响方向不是单调的;相反,它们的影响方向先是下降,然后上升,然后再次下降,这意味着通过最小化总成本,可以确定更好的预设最晚返回时间值。通过研究和比较分散决策和集中决策,我们发现集中决策系统在控制过期和成本方面效果更好。因此,我们为 ERC 和医院之间的合作设计了一个协调机制。我们的分析表明,我们不应该忽视应急物品的紧急不确定性和易腐性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e3b/6201896/033769a32ef7/pone.0205643.g001.jpg

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