首页> 外文会议>International Conference on Assistive and Rehabilitation Technologies >The Use of Discrete Event Simulation for Optimal Performance of Blood Banks (A Case Study of Al-Shifa Central Blood Bank)
【24h】

The Use of Discrete Event Simulation for Optimal Performance of Blood Banks (A Case Study of Al-Shifa Central Blood Bank)

机译:采用离散事件仿真以实现血库的最佳性能(以Al-Shifa中央血库为例)

获取原文

摘要

Blood banks are a substantial agent of any health service system. Blood is a vital, however limited resource in several treatments and surgeries. Unfortunately, people worldwide still die due to shortage in supply of requested blood products. In the same breath, expired (outdated) blood units is a medical waste such that its disposal is quite expensive to the healthcare industry, as well as environmentally unfriendly. Therefore, this research is inspired by the previous factors, and aimed at the satisfaction of blood demand whilst alleviating the outdating phenomenon of blood units. This deign has approached the discrete event simulation to model the inventory system of Al-Shifa Central Blood Bank (CBB) in Gaza city as a case study. O+ packed RBC and whole blood are the most problematic and challenging blood components among the other ones and therefore, this study is limited to them. The ultimate research objective is to identify the optimal daily inventory levels that minimize the outdating and shortage of blood units and their associated costs. Upon verifying and validating the underlying inventory model, it was obtained that the optimal target inventory level that minimizes and balances the outdating and shortage is 74.605 of packed RBC and whole blood units of the O+ blood type.
机译:血库是任何卫生服务系统的大量代理人。在若干治疗和手术中,血液是至关重要的,但有限的资源。不幸的是,世界各地的人们由于供应所要求的血液产品供应短缺而仍然死亡。在同一呼吸中,已过期(过时的)血液单位是医疗废物,使其处置与医疗行业相当昂贵,以及环境不友好。因此,该研究受到先前因素的启发,旨在满足血液需求,同时减轻了血统的过度现象。该研究已经接近离散事件仿真,以将加沙城的Al-Shifa中央血库(CBB)的库存系统建模为案例研究。 O. + 包装的RBC和全血是其他人中最有问题和挑战性的血液成分,因此,这项研究仅限于它们。最终的研究目标是确定最佳的日常库存水平,最大限度地减少血液单位的过时和短缺及其相关成本。在验证和验证基础库存模型时,获得了最佳目标库存水平,最小化和平衡过度和缺乏的填充RBC和O +血型的全血单位为74.605。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号