Engineering Project Health Management: A Computational Approach for Project Management Support Through Analytics of Digital Engineering Activity

Engineering Project Health Management: A Computational Approach for Project Management Support Through Analytics of Digital Engineering Activity
复制标题

工程项目健康管理:通过数字工程活动分析提供项目管理支持的计算方法

DOI:
--
复制
发表时间:
2019
影响因子:
5.8
通讯作者:
B. Hicks
B. Hicks
中科院分区:
管理学3区
文献类型:
--
作者:
C. Snider;J. Gopsill;Simon Jones;Lia Emanuel;B. Hicks

文献摘要

参考文献

被引文献

相似文献

由于工程工作的具体情况和背景的独特性,对有助于在特定情况下取得成功和业绩的因素进行监测和评估是一个明显的、尚未解决的挑战,严重依赖管理技能和解释。工程项目健康管理(EPHM),本文提出了一种新的方法和框架,通过数据驱动和计算分析,反过来支持管理解释和生成更高层次的,特定于上下文的理解工程工作的监测。EPHM是通过集成车辆健康管理(IVHM)首次适应工程管理领域而形成的;迄今为止,该方法已用于机器监控和预测性维护。该方法应用于四个工业案例,展示了项目特定信息的生成。因此,该方法用于增加对工程活动和工作状态的理解,并且是对现有管理工具集和方法的补充。适应IVHM的一个关键原则是将管理人员置于中心地位,支持他们的专业判断,同时减少调查工作。
Due to the situational and contextual individuality of engineering work, the in-progress monitoring and assessment of those factors that contribute to the success and performance in a given scenario poses a distinct and unresolved challenge, with heavy reliance on managerial skill and interpretation. Termed engineering project health management (EPHM), this paper presents a novel approach and framework for monitoring of engineering work through data-driven and computational analytics that in turn support the managerial interpretation and generation of higher level, context-specific understanding. EPHM is formed through the first adaptation of integrated vehicle health management (IVHM) to the field of engineering management; an approach that has been used to-date for the machine monitoring and predictive maintenance. The approach is applied to four industrial cases, which demonstrates the generation of project-specific information. The approach thereby acts to increase understanding of an engineering activity and a work state, and is complementary to existing managerial toolsets and approaches. A key tenet of the adaption of IVHM is to place the manager in a central role, supporting their professional judgment while reducing investigative effort.
DOI: --
发表时间: 2015
期刊: --
影响因子: --
作者:
Gopsill J
通讯作者: Gopsill J
DOI: 10.1017/s0890060416000391
发表时间: 2016-11-01
影响因子: 2.1
作者:
Gopsill, James A.;Snider, Chris;Hicks, Ben
通讯作者: Hicks, Ben