Object-oriented model for life cycle management of electrical instrumentation control projects

QR Code

Object-oriented model for life cycle management of electrical instrumentation control projects

Electrical instrumentation and control (EIC) systems can account for as much as 60% of maintainable items as well as being critical to safe and efficient operations. Thus, it is imperative that as-built documentation is error-free and reflects precisely what has been installed. Yet EIC as-built draw...

Full description

Bibliographic Details
Main Authors:	Zhou, J., Love, Peter, Matthews, Jane, Carey, B., Sing, C.
Format:	Journal Article
Published:	Elsevier 2015
Online Access:	http://hdl.handle.net/20.500.11937/16593

Similar Items

Moving beyond CAD to an object-oriented approach for electrical control and instrumentation systems
by: Love, Peter, et al.
Published: (2016)

A systems information model for managing electrical, control, and instrumentation assets
by: Love, Peter, et al.
Published: (2015)

Moving Beyond CAD: A Systems Information Model for Electrical and Instrumentation Engineering Design
by: Love, Peter, et al.
Published: (2014)

Object oriented modeling: Retrospective systems information model for constructability assessment
by: Love, Peter, et al.
Published: (2016)

Systems information modeling: From file exchanges to model sharing for electrical instrumentation and control systems
by: Love, P., et al.
Published: (2016)

Future proofing PPPs: Life-cycle performance measurement and Building Information Modelling
by: Love, Peter, et al.
Published: (2015)

Toward productivity improvement in electrical engineering documentation
by: Zhou, Jingyang, et al.
Published: (2015)

Evaluation of public–private partnerships: A life-cycle Performance Prism for ensuring value for money
by: Liu, H., et al.
Published: (2018)

Assessing the Impact of Requests for Information in Electrical and Instrumentation Engineering Contracts
by: Love, Peter, et al.
Published: (2014)

Documentation errors in instrumentation and electrical systems: Toward productivity improvement using System Information Modeling
by: Love, Peter, et al.
Published: (2013)

Systemic life cycle design error reduction model for construction and engineering projects
by: Love, Peter, et al.
Published: (2013)

Discussion of "state of Practice of Building Information Modeling in the Electrical Construction Industry" by Awad S. Hanna, Michael Yeutter, and Diane G. Aoun
by: Love, Peter, et al.
Published: (2016)

System information modelling in practice: Analysis of tender documentation quality in a mining mega-project
by: Love, Peter, et al.
Published: (2017)

Safeguarding the integrity of Liquefied Natural Gas infrastructure assets with digitization: Case of a domestic gas metering upgrade project
by: Love, Peter, et al.
Published: (2017)

Life cycle critical success factors for public-private partnership infrastructure projects
by: Liu, J., et al.
Published: (2015)

There Is Strength in Numbers: Seven Principles to Contain and Reduce Error and Mitigate Rework in Transport Mega-Projects
by: Love, Peter, et al.
Published: (2022)

Thoughts and musings on the development of a theory for rework causation in construction
by: Love, Peter, et al.
Published: (2013)

Development of an object model for automated compliance checking
by: Malsane, S., et al.
Published: (2015)

Modeling the Dynamics of Design Error in Australia Mining and Resources Projects
by: Sing, C., et al.
Published: (2015)

Life cycle cost for construction projects
by: Ayob, Mohd Fairullazi
Published: (2018)

Life cycle option appraisal in retrofit buildings
by: Tokede, O., et al.
Published: (2018)

Retrospective future proofing of a copper mine: Quantification of errors and omissions in ‘As-built’ documentation
by: Love, Peter, et al.
Published: (2016)

Estimating construction contingency: Accommodating the potential for cost overruns in road construction projects
by: Love, Peter, et al.
Published: (2015)

Modeling Australia’s Construction Workforce Demand: Empirical Study with a Global Economic Perspective
by: Liu, J., et al.
Published: (2014)

From design to operations: a process management life-cycle performance measurement system for Public-Private Partnerships
by: Liu, H., et al.
Published: (2018)

Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects
by: Matthews, Jane, et al.
Published: (2022)

Error aversion or management? Exploring the impact of culture at the sharp-end of production in a mega-project
by: Matthews, Jane, et al.
Published: (2022)

When ‘less is more’: The rationale for an adaptive toolbox to manage the risk and uncertainty of rework
by: Love, Peter, et al.
Published: (2022)

Ecological Responsible throughout Infrastructure Project Life Cycle
by: Ismail, Sushilawati
Published: (2020)

Systems information modelling: Enabling digital asset management
by: Love, Peter, et al.
Published: (2016)

BIM for Built Asset Management
by: Love, Peter, et al.
Published: (2015)

Factors affecting quality in Construction Project Life Cycle (CPLC)
by: Yaman, Siti Khalijah, et al.
Published: (2022)

Object oriented programming
by: Shah, Asadullah, et al.
Published: (2011)

Risk and Uncertainty in the Cost Contingency of Transport Projects: Accommodating Bias or Heuristics, or Both?
by: Love, Peter, et al.
Published: (2021)

Large-Scale Transport Infrastructure Project Performance: Generating a Narrative of Context and Meaning
by: Love, Peter, et al.
Published: (2021)

Dynamic life cycle assessment of lithium-ion batteries for electric vehicles
by: Llamas-Orozco, Jorge Armando
Published: (2023)

Error culture and its impact on rework: An exploration of norms and practices in a transport mega-project
by: Love, Peter, et al.
Published: (2022)

Managing rail infrastructure for a digital future: Future-proofing of asset information
by: Love, Peter, et al.
Published: (2018)

The social organization of errors and the manifestation of rework: learning from narratives of practice
by: Love, Peter, et al.
Published: (2022)

Error Mastery in Alliance Transport Megaprojects
by: Love, Peter, et al.
Published: (2022)