Engineering Project Health Management: A computational approach for project management support through analytics of digital engineering activity

Chris Snider, James Gopsill, Simon Jones, Lia Emanuel, Ben Hicks

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Due to the situational and contextual individuality of engineering work, the in-progress monitoring and assessment of those factors that contribute to 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 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 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 engineering activity and 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.
LanguageEnglish
JournalIEEE Transactions on Engineering Management
DOIs
StatusPublished - 12 Jul 2018

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Project management
Health
Monitoring
Engineering project
Health management
Management support
Managers
Integrated

Cite this

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