Optimal planning of the COVID-19 vaccine supply chain.
Optimal planning of the COVID-19 vaccine supply chain.
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DOI：
10.1016/j.vaccine.2021.07.068
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发表时间：
2021-08-31
期刊：
影响因子：
5.5
通讯作者：
Georgiadis MC
中科院分区：
文献类型：
--
作者：
Georgiadis GP;Georgiadis MC
这项工作提出了一个新的框架，以同时解决COVID-19疫苗供应链的最佳规划和现有疫苗接种中心每日疫苗接种的最佳规划。一个新的混合整数线性规划（MILP）模型的开发，以产生最佳的决策，关于位置之间的转移量，中心枢纽和疫苗接种中心的库存配置文件和每日疫苗接种计划在疫苗接种中心的供应链网络。具体的COVID-19特征，如特殊的冷藏技术、mRNA疫苗在冷藏条件下的有限保质期以及极端时间压力下的苛刻疫苗接种目标，都被恰当地建模。该模型的目标是最大限度地减少总成本，包括储存和运输成本、与车队和工作人员需求相关的成本以及浪费剂量造成的间接成本。针对大规模问题的求解，提出了一种基于分而治之和聚合方法的两步分解策略。所提出的基于优化的框架的适用性和效率的研究案例，模拟希腊全国范围内的疫苗接种计划。最后，采用滚动时域技术来反应性地处理疫苗接种计划中可能出现的干扰。建议的数学框架有助于COVID-19疫苗供应链的决策过程，以最大限度地减少潜在成本和剂量损失。因此，分销网络的效率得以提高，从而协助大规模的COVID-19疫苗接种活动。
This work presents a novel framework to simultaneously address the optimal planning of COVID-19 vaccine supply chains and the optimal planning of daily vaccinations in the available vaccination centres. A new mixed integer linear programming (MILP) model is developed to generate optimal decisions regarding the transferred quantities between locations, the inventory profiles of central hubs and vaccination centres and the daily vaccination plans in the vaccination centres of the supply chain network. Specific COVID-19 characteristics, such as special cold storage technologies, limited shelf-life of mRNA vaccines in refrigerated conditions and demanding vaccination targets under extreme time pressure, are aptly modelled. The goal of the model is the minimization of total costs, including storage and transportation costs, costs related to fleet and staff requirements, as well as, indirect costs imposed by wasted doses. A two-step decomposition strategy based on a divide-and-conquer and an aggregation approach is proposed for the solution of large-scale problems. The applicability and efficiency of the proposed optimization-based framework is illustrated on a study case that simulates the Greek nationwide vaccination program. Finally, a rolling horizon technique is employed to reactively deal with possible disturbances in the vaccination plans. The proposed mathematical framework facilitates the decision-making process in COVID-19 vaccine supply chains into minimizing the underlying costs and the number of doses lost. As a result, the efficiency of the distribution network is improved, thus assisting the mass vaccination campaigns against COVID-19.
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