• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Visualization of Big Data Through Ship Maintenance Metrics Analysis for Fleet Maintenance and Revitalization.
【24h】

Visualization of Big Data Through Ship Maintenance Metrics Analysis for Fleet Maintenance and Revitalization.

机译：通过船舶维护指标分析大型数据可视化，用于车队维护和振兴。

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

摘要

There are between 150 and 200 parameters for measuring the performance of ship maintenance processes in the U.S. Navy. Despite this level of detail, budgets and timelines for performing maintenance on the Navy s fleet appear to be problematic. Making sense of what these parameters mean in terms of the overall performance of ship maintenance processes is clearly a big data problem. The current process for presenting data on the more than 150 parameters measuring ship maintenance performance costs and processes, containing billions of data points, is still done by static, cumbersome spreadsheets. The central goal of this thesis is to provide a means to aggregate voluminous maintenance data in such a way that the causal factors contributing to cost and schedule overruns can be better understood by ship maintenance leadership. Big data visualization software was examined to determine if visualization tools could improve the understanding of U.S. Navy ship maintenance by its leaders. This thesis concludes that the visualization of big data supports decision making by enabling leaders to quickly identify trends, develop a better understanding of the problem space, establish defensible baselines for monitoring activities, perform forecasting, and evaluate metrics for use.

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