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Technology Enabled New Inventory Control Policies in Hospitals.

机译:技术推动了医院的新库存控制策略。

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摘要

Modern point-of-use technology at hospitals has enabled new replenishment policies for medical supplies. Traditionally used periodic replenishment policies are being replaced by continuous or hybrid periodic-continuous review policies enabled by the use of new technology. New technology such as automated dispensing machines used to store hospital supplies has enabled the use of a new hybrid inventory control policy. We first study this new hybrid inventory control policy with both periodic and continuous replenishments permitted, under deterministic and stochastic demand. For deterministic demand, we derive expressions for the optimal hybrid policy parameters. For stochastic demand: (i) we develop a simulation-based optimization approach to find policy parameters and estimate the long-run average cost, and (ii) we computationally compare the performance of the hybrid policy with traditional periodic review and continuous review policies. Next we extend our results to consider multiple items. We propose four different hybrid-joint replenishment policies for two items. Using a simulation-based optimization approach we find policy parameters and estimate long-run average cost for each of the four policies. We compare the performance of the four hybrid-joint replenishment policies with the performance of periodic and continuous review joint replenishment policies traditionally considered in the literature. Finally, we study a two-bin inventory replenishment system used at hospitals to store a large number of supplies. The recent introduction of radio frequency identification technology in two-bin replenishment systems has allowed continuous time tracking of inventory. We formulate a semi-Markov decision model for the two bin replenishment system and we characterize the optimal replenishment policy. We use a linear program to find the optimal average cost and policy parameters for the two bin replenishment policy.
机译:医院中的现代使用点技术已启用了新的医疗用品补货政策。传统使用的定期补货策略已被使用新技术的连续或混合定期-连续审查策略所取代。诸如用于存储医院物资的自动分配机之类的新技术使人们能够使用新的混合库存控制策略。我们首先研究这种新的混合库存控制策略,该策略在确定性和随机需求下允许定期和连续补货。对于确定性需求,我们推导了最优混合策略参数的表达式。对于随机需求:(i)我们开发了一种基于仿真的优化方法来查找策略参数并估算长期平均成本,并且(ii)我们在计算上比较了混合策略与传统定期检查和连续检查策略的性能。接下来,我们将结果扩展为考虑多个项目。我们针对两个项目提出了四种不同的混合联合补货政策。使用基于仿真的优化方法,我们可以找到策略参数并估算这四个策略中每个策略的长期平均成本。我们将四种混合联合补给政策的绩效与文献中传统上考虑的定期和持续审查联合补给政策的绩效进行比较。最后,我们研究了医院用于存储大量物资的两仓式库存补给系统。最近在两仓补给系统中引入了射频识别技术,可以对存货进行连续的时间跟踪。我们为两个垃圾箱补给系统制定了一个半马尔可夫决策模型,并描述了最佳补给策略。我们使用线性程序来找到两个垃圾箱补货策略的最佳平均成本和策略参数。

著录项

  • 作者

    Rosales, Claudia R.;

  • 作者单位

    University of Cincinnati.;

  • 授予单位 University of Cincinnati.;
  • 学科 Business Administration General.;Operations Research.;Health Sciences Health Care Management.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 77 p.
  • 总页数 77
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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