首页> 外文期刊>MRO Management >Power in PLANNING
【24h】

Power in PLANNING

机译:规划力量

获取原文
获取原文并翻译 | 示例
           

摘要

The 2021 outlook for MRO has changed dramatically since predictions were made last year, or even six months ago. Today, MROs and airlines are having to operate with reduced team sizes due to forced redundancies and social distancing measures, while facing cuts to MRO budgets and spend for the foreseeable future. If this is the case, how can MRO planners reduce their fleet downtime and improve efficiency when forecasting maintenance needs alongside these restraints? Plans now need to be even more adaptable to changing circumstances, yet less time and resource is available to prepare forecasts. This is where technology comes in. There has been much discussion across the aviation industry about the 'digital transformation' taking place during the downtime experienced in recent months. Maintenance planning is no different. One technology that is now coming into its own and seeing more adoption in the face of such uncertainty is model-based AI.
机译:自去年的预测,甚至六个月前,2021个MRO Outlook已经发生巨大变化。如今,由于强迫赎回和社会疏远措施,MRO和航空公司必须在减少的团队规模下运作,同时面临削减MRO预算,并花费可预见的未来。如果是这种情况,MRO规划人员如何减少他们的车队停机时间,并在这些限制范围内预测维护需求时提高效率?计划现在需要更适应不断变化的情况,但更少的时间和资源可用于准备预测。这是技术进来的地方。航空业在最近几个月经历的停机期间发生的“数字转型”有很多讨论。维护计划没有什么不同。目前在面对这种不确定性面前进入自己并看到更多采用的一种技术是基于模型的AI。

著录项

  • 来源
    《MRO Management》 |2021年第1期|16-17|共2页
  • 作者

    Phil Cole;

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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