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Reliability and maintenance of medical devices.

机译：医疗设备的可靠性和维护。

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摘要

For decades, reliability engineering techniques have been successfully applied in many industries to improve the performance of equipment maintenance management. Numerous inspection and optimization models are developed and widely used to achieve maintenance excellence, i.e. the balance of performance, risk, resources and cost to reach to an optimal solution. However, the application of all these techniques and models to medical devices is new. Hospitals, due to possessing a large number of difference devices, can benefit significantly if the optimization techniques are used properly in the equipment management processes. Most research in the area of reliability engineering for medical equipment mainly considers the devices in their design or manufacturing stage and suggests some techniques to improve the reliability. To this point, best maintenance strategies for medical equipment in their operating context have not been considered.;We aim to address this gap and propose methods to improve current maintenance strategies in the healthcare industry. More specifically, we first identify or propose the criteria which are important to assess the criticality of medical devices, and propose a model for the prioritization of medical equipment for maintenance decisions. The model is a novel application of multi-criteria decision making methodology to prioritize medical devices in a hospital according to their criticality. The devices with high level of criticality should be included in the hospital's maintenance management program.;Then, we propose a method to statistically analyze maintenance data for complex medical devices with censoring and missing information. We present a classification of failure types and establish policies for analyzing data at different levels of the device. Moreover, a new method for trend analysis of censored failure data is proposed. A novel feature of this work is that it considers dependent failure histories which are censored by inspection intervals. Trend analysis of this type of data has not been discussed in the literature.;Finally, we introduce some assumptions based on the results of the analysis, and develop several new models to find the optimal inspection interval for a system subject to hard and soft failures. Hard failures are instantaneously revealed and fixed. Soft failures are only rectified at inspections. They do not halt the system, although they reduce its performance or productivity. The models are constructed for two main cases with the assumption of periodic inspections, and periodic and opportunistic inspections, respectively. All numerical examples and case studies presented in the dissertation are adapted from the maintenance data received from a Canadian hospital.
机译：数十年来，可靠性工程技术已成功应用于许多行业，以提高设备维护管理的性能。开发并广泛使用了许多检查和优化模型来实现卓越的维护，即性能，风险，资源和成本之间的平衡，以达到最佳解决方案。但是，所有这些技术和模型在医疗设备中的应用都是新的。如果在设备管理过程中正确使用优化技术，由于拥有大量差异设备，医院将受益匪浅。医疗设备可靠性工程领域中的大多数研究都主要在设计或制造阶段考虑设备，并提出一些提高可靠性的技术。到目前为止，尚未考虑医疗设备在其运行环境中的最佳维护策略。；我们旨在解决这一差距并提出改善医疗行业当前维护策略的方法。更具体地说，我们首先确定或提出对于评估医疗设备的重要性至关重要的标准，并提出一种用于维护决策的医疗设备优先级排序的模型。该模型是一种多准则决策方法的新颖应用，可以根据其重要性对医院中的医疗设备进行优先级排序。关键程度高的设备应包括在医院的维护管理程序中。然后，我们提出了一种对带有检查和缺失信息的复杂医疗设备进行统计分析的方法。我们提供了故障类型的分类，并建立了用于分析设备不同级别数据的策略。此外，提出了一种新的趋势分析失效数据趋势的方法。这项工作的新颖之处在于，它考虑了由检查间隔检查的相关故障历史记录。最后，我们在分析结果的基础上介绍了一些假设，并开发了一些新的模型来为遭受硬故障和软故障的系统找到最佳的检查间隔。 。硬故障会立即显示并修复。软故障仅在检查时纠正。尽管它们会降低系统的性能或生产率，但它们不会暂停系统。该模型是针对两种主要情况构建的，分别假设有定期检查，定期检查和机会检查。本文提供的所有数值示例和案例研究均来自加拿大一家医院的维护数据。

著录项

  • 作者

    Taghipour, Sharareh.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Engineering Industrial.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 334 p.
  • 总页数 334
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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