Department of Industrial and Manufacturing Systems Engineering, University of Missouri Columbia, Columbia, MO 65211, USA.
Department of Marketing, University of Missouri Columbia, Columbia, MO 65211, USA.
J Healthc Eng. 2020 Aug 29;2020:8881751. doi: 10.1155/2020/8881751. eCollection 2020.
Blood, like fresh produce, is a perishable element, with platelets having a limited lifetime of five days and red blood cells lasting 42 days. To manage the blood supply chain more effectively under demand and supply uncertainty, it is of considerable importance to developing a practical blood supply chain model. This paper proposed an essential blood supply chain model under demand and supply uncertainty.
This study focused on how to manage the blood supply chain under demand and supply uncertainty effectively. A stochastic mixed-integer linear programming (MILP) model for the blood supply chain is proposed. Furthermore, this study conducted a sensitivity analysis to examine the impacts of the coefficient of demand and supply variation and the cost parameters on the average total cost and the performance measures (units of shortage, outdated units, inventory holding units, and purchased units) for both the blood center and hospitals.
Based on the results, the hospitals and the blood center can choose the optimal ordering policy that works best for them. From the results, we observed that when the coefficient of demand and supply variation is increased, the expected supply chain cost increased with more outdating units, shortages units, and holding units due to the impacts of supply and demand fluctuation. Variation in the inventory holding and expiration costs has an insignificant effect on the total cost.
The model developed in this paper can assist managers and pathologists at the blood donation centers and hospitals to determine the most efficient inventory policy with a minimum cost based on the uncertainty of blood supply and demand. The model also performs as a decision support system to help health care professionals manage and control blood inventory more effectively under blood supply and demand uncertainty, thus reducing shortage of blood and expired wastage of blood.
血液和新鲜农产品一样,属于易腐物品,血小板的保质期仅有 5 天,红细胞的保质期为 42 天。为了在需求和供应不确定的情况下更有效地管理血液供应链,开发实用的血液供应链模型非常重要。本文提出了一种在需求和供应不确定下的基本血液供应链模型。
本研究重点研究了如何在需求和供应不确定的情况下有效地管理血液供应链。提出了一种用于血液供应链的随机混合整数线性规划(MILP)模型。此外,本研究还进行了敏感性分析,以检查需求和供应变化系数以及成本参数对血液中心和医院的平均总成本和绩效指标(短缺单位、过期单位、库存持有单位和购买单位)的影响。
基于结果,医院和血液中心可以选择最适合他们的最佳订购策略。从结果中可以看出,随着供应和需求波动的影响,需求和供应变化系数增加时,预期供应链成本会因更多的过期单位、短缺单位和持有单位而增加。库存持有和过期成本的变化对总成本的影响不大。
本文开发的模型可以帮助血液捐赠中心和医院的管理人员和病理学家根据血液供应和需求的不确定性,确定成本最低的最有效库存策略。该模型还可以作为决策支持系统,帮助医疗保健专业人员在血液供应和需求不确定的情况下更有效地管理和控制血液库存,从而减少血液短缺和血液过期浪费。