首页> 外文会议>International Federation for Information Processing WG 5.1 international conference on product lifecycle management >Engineering Project Health Monitoring: Application of Automatic, Real-Time Analytics to PDM Systems
【24h】

Engineering Project Health Monitoring: Application of Automatic, Real-Time Analytics to PDM Systems

机译:工程项目的运行状况监视:自动实时分析在PDM系统中的应用

获取原文

摘要

Modem engineering work, both project-based and operations, is replete with complexity and variety making the effective development of detailed understanding of work underway difficult, which in turn impacts on management and assurance of performance. Leveraging the digital nature of modem engineering work, recent research has demonstrated the capability and opportunity for implementation of broad-spectrum data analytics for development of detailed management information. Of key benefit is that these analytics may be both real-time and automatic. This paper contextualises such analytics with respect to PDM through exploration of the potential for driving the analytics directly from data typically captured within PDM systems. Through review of twenty-five analytics generated from engineering-based digital assets, this paper examines the subset that may be applied to PDM-driven analysis on systems as-is, examines the coverage of such analytics from the perspective of the potential managerial information and understanding that could be inferred, and explores the potential for maximizing the set of analytics driven from PDM systems through capture of a minimal set of supplementary data. This paper presents the opportunity for integration of detailed analytics of engineering work into PDM systems and the extension of their capability to support project management and team performance.
机译:基于项目和运营的现代工程工作充满了复杂性和多样性,使得难以有效发展对正在进行的工作的详细了解,进而影响到管理和绩效保证。利用现代工程工作的数字性质,最近的研究证明了实施广谱数据分析以开发详细管理信息的能力和机会。最主要的好处是这些分析可以是实时的也可以是自动的。本文通过探索直接从PDM系统中通常捕获的数据中直接驱动分析的潜力,针对PDM对此类分析进行了语境化。通过回顾从基于工程的数字资产生成的二十五个分析,本文研究了可以应用于系统上的PDM驱动的分析的子集,从潜在的管理信息的角度检查了此类分析的覆盖范围,并了解可以推断出的内容,并探索通过捕获最少的补充数据集来最大化PDM系统驱动的一组分析的潜力。本文提供了将详细的工程工作分析集成到PDM系统中以及扩展其支持项目管理和团队绩效的能力的机会。

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