Infrastructure Asset Management for Different Types of Facilities Using Normalized Level of Service

2014 ◽  
pp. 155-159 ◽  
Author(s):  
Myung Jin Chae
Keyword(s):  
Asset Management ◽  
Level Of Service ◽  
Different Types ◽  
Infrastructure Asset Management

Evaluation of Customer-Driven Level of Service for Water Infrastructure Asset Management

2015 ◽  
Vol 31 (4) ◽  
pp. 04014067 ◽  
Author(s):  
Sangjong Han ◽  
Myung Jin Chae ◽  
Hwankook Hwang ◽  
Youn-kyoo Choung
Keyword(s):  
Asset Management ◽  
Level Of Service ◽  
Water Infrastructure ◽  
Infrastructure Asset Management

Levels of Uncertainty in Infrastructure Asset Management

2021 ◽  
pp. 036119812199184
Author(s):  
Amir R. Hessami ◽  
Stuart D. Anderson ◽  
Roger E. Smith
Keyword(s):  
Strategic Management ◽  
Asset Management ◽  
Large Scale ◽  
Level Of Service ◽  
Management Planning ◽  
Usage Patterns ◽  
Four Levels ◽  
Large Scale Networks ◽  
Asset Managers ◽  
Infrastructure Asset Management

The management of infrastructure assets is often challenged by uncertain factors such as changing weather trends and usage patterns. To reliably maintain the assets above a specified level of service, the extent of this uncertainty should be identified, and adequate methods for analyzing the risk factors should be implemented. The analysis of risk is well-defined in the field of strategic management. In the current study, four levels of uncertainty that are widely discussed in strategic management were used as a benchmark to determine the levels of uncertainty in infrastructure asset management. These levels range from known issues, to statistically predictable factors, to complete indeterminacy. The current methods of treating uncertainty in infrastructure asset management were reviewed to determine how they overlap with the four levels of uncertainty and whether or not asset managers handle this uncertainty in an optimal fashion. The current approaches in asset management were found to be primarily deterministic and probabilistic. A shortcoming was found in regard to the incorporation of risk analysis into asset management planning for large-scale networks. The researchers concluded that the level of uncertainty present in asset management at the network planning level can be best described as a range and addressed through the use of representative scenarios within that range.

Integration of cross asset risk assessment into road infrastructure asset management

2015 ◽  
Vol 105 (28) ◽  
pp. 1-7
Author(s):  
Alfred Weninger-Vycudil ◽  
Barbara Brozek ◽  
Roland Spielhofer ◽  
Chris Britton ◽  
Mark Oldfield
Keyword(s):  
Risk Assessment ◽  
Asset Management ◽  
Road Infrastructure ◽  
Asset Risk ◽  
Infrastructure Asset Management

scholarly journals Water Infrastructure Asset Management Is Evolving

2021 ◽  
Vol 6 (6) ◽  
pp. 90
Author(s):  
Assela Pathirana ◽  
Frank den Heijer ◽  
Paul B Sayers
Keyword(s):  
Asset Management ◽  
Capacity Development ◽  
Water Infrastructure ◽  
Poor State ◽  
Technical Developments ◽  
The Poor ◽  
Development Agenda ◽  
Future Direction ◽  
Relevant Education ◽  
Infrastructure Asset Management

Infrastructure Asset Management (IAM) is the process by which decisions are made and resources allocated to ensure organisational or societal assets continue to deliver, as required. IAM is an evolving field. We discuss this evolution and present our perspectives on the future direction of IAM. IAM was born as a response to the poor state of maintenance of infrastructure, largely due to lack of resources, and emphasizes the need to prioritize maintenance and renewal using risk-based approaches. The demands on IAM have also continued to evolve as asset systems have become more complex, with multifunctionality, adaptative capacity and nature-based infrastructure, all issues that IAM must now consider. These challenges underpin the changing context of Water Infrastructure Asset Management (WIAM) and the opportunity for WIAM to harness new technical developments from other IAM domains. WIAM will need to continue to evolve, responding to these challenges and take advantage of these opportunities through research and application in collaboration with a relevant education and capacity development agenda.

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