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An approach to value based infrastructure asset management

Published version
Peer-reviewed

Change log

Authors

Srinivasan, R 
Parlikad, AKN 

Abstract

Effective management of civil infrastructure assets requires intricate considerations with regard to safety, serviceability, reputation and cost. Additionally, infrastructure assets have different requirements from various stakeholders and have a longer service life. However, traditional asset management decisions focused predominantly on cost, and there is an inherent need to understand the value of an infrastructure asset to various stakeholders and to utilise this value to drive asset management decisions. In this paper, a systematic approach to making value-based asset management decisions is proposed. The proposed process provides an efficient method for mapping the stakeholder’s requirements to the value provided by the asset. This map can then be used to assess the value and make effective decisions. The developed approach is demonstrated through a case study involving transportation tunnels. The essential consideration of value is expected to allow organisations to evaluate the balance between cost, risk and performance, thereby allowing better-informed decisions.

Description

Keywords

infrastructure planning/maintenance, inspection/mathematical modelling

Journal Title

Infrastructure Asset Management

Conference Name

Journal ISSN

2053-0242
2053-0250

Volume Title

4

Publisher

ICE Publishing
Sponsorship
Engineering and Physical Sciences Research Council (EP/K000314/1)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (645733)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (645733)
The research work was performed within the context of SustainOwner (‘Sustainable Design and Management of Industrial Assets through Total Value and Cost of Ownership’), a project sponsored by the EU Framework Programme Horizon 2020, MSCARISE-2014: Marie Skłodowska-Curie Research and Innovation Staff Exchange (Rise) (grant agreement number 645733 – Sustain-owner – H2020-MSCA-RISE-2014). The research was funded by the Engineering and Physical Sciences Research Council Innovation and Knowledge Centre for Smart Infrastructure and Construction at the University of Cambridge.