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Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach

机译:识别和可视化协作工程项目的KPI:基于知识的方法

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摘要

Nowadays manufacturing involves high volume of complex operational processes, distributed resources and international/intersectional collaborations, which cause the evaluation of performance for related engineering projects to become a challenge. The performance of project is a key factor that determines the quality of output, and its temporal changes could reflect the status of project execution at current time, as well as indicate the potential issues for the near future. As a result, monitoring the change of performance is an essential approach to ensure the project execution is on track. It could raise awareness of project participants upon any issue occurs, and enable them to make appropriate decisions on a real-time basis.To facilitate the evaluation of project performance in collaborative environments, this research aims to propose an automatic approach to extracting key performance indicators (KPIs) from project related data, and also to demonstrate how the domain knowledge can facilitate the process of KPIs identification and visualisation.
机译:如今,制造业涉及大量的复杂操作流程,分布式资源以及国际/部门间的协作,这使得对相关工程项目的性能评估成为挑战。项目的绩效是决定产出质量的关键因素,其时间变化可以反映当前时间的项目执行状况,并指出近期的潜在问题。因此,监视性能的变化是确保项目执行按计划进行的基本方法。它可以提高项目参与者在任何问题发生时的意识,并使他们能够实时做出适当的决策。为了促进协作环境中项目绩效的评估,本研究旨在提出一种自动方法来提取关键绩效指标(KPI)来自项目相关的数据,还演示了领域知识如何促进KPI识别和可视化的过程。

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