Understanding Engineering Projects: An Integrated Vehicle Health Management Approach to Engineering Project Monitoring

Christopher Snider, James Gopsill, Simon Jones, Lei Shi, B J Hicks

Research output: Contribution to conferencePaper

8 Citations (Scopus)
23 Downloads (Pure)

Abstract

Due to heterogeneity in engineering projects and the contexts in which they occur, it is challenging to develop generic methods for monitoring and management. Particularly in large projects, high complexity, scale, and distribution creates difficulty in identifying what performance metrics should even be applied, aside from how to assess. To address this issue this paper presents a new approach to project monitoring based on Integrated Vehicle Health Management (IVHM), a widely used monitoring method for machine maintenance. By focusing on wide capture of low-level data, in this case digital files produced during everyday work, an IVHM approach uses many analysis techniques simultaneously, automatically creating a high-level description of the state of the project which a manager can use for assessment and intervention. To allow IVHM to be applied to engineering projects this paper presents 70 features captured from interview, each present in all engineering projects, whose state influence performance. Feasibility of the IVHM approach in engineering management is shown through three data examples, in which higher level project understanding is inferred directly from low level data.
Original languageEnglish
Publication statusPublished - 27 Jul 2015

Fingerprint

Health
Monitoring
Managers

Cite this

Understanding Engineering Projects: An Integrated Vehicle Health Management Approach to Engineering Project Monitoring. / Snider, Christopher; Gopsill, James; Jones, Simon; Shi, Lei; Hicks, B J.

2015.

Research output: Contribution to conferencePaper

@conference{e0e77b6851bc42d0a4011da26fdc48a4,
title = "Understanding Engineering Projects: An Integrated Vehicle Health Management Approach to Engineering Project Monitoring",
abstract = "Due to heterogeneity in engineering projects and the contexts in which they occur, it is challenging to develop generic methods for monitoring and management. Particularly in large projects, high complexity, scale, and distribution creates difficulty in identifying what performance metrics should even be applied, aside from how to assess. To address this issue this paper presents a new approach to project monitoring based on Integrated Vehicle Health Management (IVHM), a widely used monitoring method for machine maintenance. By focusing on wide capture of low-level data, in this case digital files produced during everyday work, an IVHM approach uses many analysis techniques simultaneously, automatically creating a high-level description of the state of the project which a manager can use for assessment and intervention. To allow IVHM to be applied to engineering projects this paper presents 70 features captured from interview, each present in all engineering projects, whose state influence performance. Feasibility of the IVHM approach in engineering management is shown through three data examples, in which higher level project understanding is inferred directly from low level data.",
author = "Christopher Snider and James Gopsill and Simon Jones and Lei Shi and Hicks, {B J}",
year = "2015",
month = "7",
day = "27",
language = "English",

}

TY - CONF

T1 - Understanding Engineering Projects: An Integrated Vehicle Health Management Approach to Engineering Project Monitoring

AU - Snider, Christopher

AU - Gopsill, James

AU - Jones, Simon

AU - Shi, Lei

AU - Hicks, B J

PY - 2015/7/27

Y1 - 2015/7/27

N2 - Due to heterogeneity in engineering projects and the contexts in which they occur, it is challenging to develop generic methods for monitoring and management. Particularly in large projects, high complexity, scale, and distribution creates difficulty in identifying what performance metrics should even be applied, aside from how to assess. To address this issue this paper presents a new approach to project monitoring based on Integrated Vehicle Health Management (IVHM), a widely used monitoring method for machine maintenance. By focusing on wide capture of low-level data, in this case digital files produced during everyday work, an IVHM approach uses many analysis techniques simultaneously, automatically creating a high-level description of the state of the project which a manager can use for assessment and intervention. To allow IVHM to be applied to engineering projects this paper presents 70 features captured from interview, each present in all engineering projects, whose state influence performance. Feasibility of the IVHM approach in engineering management is shown through three data examples, in which higher level project understanding is inferred directly from low level data.

AB - Due to heterogeneity in engineering projects and the contexts in which they occur, it is challenging to develop generic methods for monitoring and management. Particularly in large projects, high complexity, scale, and distribution creates difficulty in identifying what performance metrics should even be applied, aside from how to assess. To address this issue this paper presents a new approach to project monitoring based on Integrated Vehicle Health Management (IVHM), a widely used monitoring method for machine maintenance. By focusing on wide capture of low-level data, in this case digital files produced during everyday work, an IVHM approach uses many analysis techniques simultaneously, automatically creating a high-level description of the state of the project which a manager can use for assessment and intervention. To allow IVHM to be applied to engineering projects this paper presents 70 features captured from interview, each present in all engineering projects, whose state influence performance. Feasibility of the IVHM approach in engineering management is shown through three data examples, in which higher level project understanding is inferred directly from low level data.

M3 - Paper

ER -