...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Production Research >Throughput-based importance measures of multistate production systems
【24h】

Throughput-based importance measures of multistate production systems

机译：基于吞吐量的多州生产系统重要性衡量

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Many production systems are multistate, with a finite number of performance levels that are between perfect functioning and complete failure. Importance measures are often used in the maintenance planning of complicated systems, to observe the criticalities of components, reveal the system weakness, and thus to guide the allocation of limited maintenance resources. This paper compares several commonly used importance measures for multistate systems, and investigates their effectiveness and limitations with a simple example. These existing measures focus on the states of a system at some moment, while ignoring the dynamic behaviours in the long-term. For a production system, however, its throughput in a certain period, rather than the instantaneous performance, is the system property of interest. Therefore, two new long-term throughput-based importance measures: total throughput importance measure and maintenance effect importance measure are proposed in this paper, to answer the questions about the criticalities of different components and the long-term effects of successful maintenance activities on the throughput of a production system in a certain period. A case study on an offshore production system is conducted, to illustrate how the new importance measures work and what kind of implications can be provided to the maintenance crew.
机译：许多生产系统都是多状态的，在正常运行和完全故障之间具有有限数量的性能水平。重要措施通常用于复杂系统的维护计划中，以观察组件的关键性，揭示系统的弱点，从而指导有限维护资源的分配。本文比较了多状态系统的几种常用重要性度量，并通过一个简单的示例研究了它们的有效性和局限性。这些现有措施着眼于某个时刻的系统状态，而长期忽略了动态行为。但是，对于生产系统而言，其在一定时期内的吞吐量而不是瞬时性能是所关注的系统属性。因此，本文提出了两种新的基于长期吞吐量的重要性度量：总吞吐量重要性度量和维护效果重要性度量，以回答有关不同组件的重要性以及成功维护活动对组件的长期影响的问题。一定时期内生产系统的吞吐量。进行了一个海上生产系统的案例研究，以说明新的重要措施如何工作以及可以为维护人员提供什么样的含义。

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