• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Logistics >Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops
【24h】

Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops

机译：传感器嵌入式笔记本电脑的维护和EOL操作性能评估

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Sensors are commonly employed to monitor products during their life cycles and to remotely and continuously track their usage patterns. Installing sensors into products can help generate useful data related to the conditions of products and their components, and this information can subsequently be used to inform EOL decision-making. As such, embedded sensors can enhance the performance of EOL product processing operations. The information collected by the sensors can also be used to estimate and predict product failures, thereby helping to improve maintenance operations. This paper describes a study in which system maintenance and EOL processes were combined and closed-loop supply chain systems were constructed to analyze the financial contribution that sensors can make to these procedures by using discrete event simulation to model and compare regular systems and sensor-embedded systems. The factors that had an impact on the performance measures, such as disassembly cost, maintenance cost, inspection cost, sales revenues, and profitability, were determined and a design of experiments study was carried out. The experiment results were compared, and pairwise t-tests were executed. The results reveal that sensor-embedded systems are significantly superior to regular systems in terms of the identified performance measures.
机译：传感器通常用于监视产品的生命周期，并远程连续跟踪其使用模式。在产品中安装传感器可以帮助生成与产品及其组件的状况有关的有用数据，并且此信息随后可用于通知EOL决策。这样，嵌入式传感器可以增强EOL产品加工操作的性能。传感器收集的信息还可用于估计和预测产品故障，从而有助于改善维护操作。本文描述了一项研究，其中将系统维护和EOL流程相结合，并构建了闭环供应链系统，以通过使用离散事件模拟对常规系统和传感器嵌入式系统进行建模和比较，来分析传感器对这些程序的财务贡献。系统。确定了影响性能指标的因素，例如拆卸成本，维护成本，检查成本，销售收入和盈利能力，并进行了实验研究设计。比较实验结果，并进行成对t检验。结果表明，在确定的性能指标方面，传感器嵌入式系统明显优于常规系统。

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