Asset Management Model and Systems Integration Approach

2000 ◽  
Vol 1719 (1) ◽  
pp. 191-199 ◽  
Author(s):  
Zongwei Tao ◽  
F. Gordon Zophy ◽  
John Wiegmann

Transportation asset management is an integrated set of best practices and systems that achieve optimal and cost-effective investment and use of transportation assets throughout their service life cycle. Most infrastructure management programs and systems contain certain elements of asset management functions. However, they lack a strong capacity to accomplish the overall asset management goal. Presented is an asset management model together with an approach for systems integration. The asset management model illustrates basic asset management goals, strategies, principles, and analysis methods. An example of an integrated maintenance program incorporates the features of the model. Supporting the asset management model is a systems integration approach that demonstrates how component asset management systems can be integrated at different stages of their development life cycles. The integration process is needed to ensure that system interoperability truly supports an effective asset management program. The approach can be defined in five phases: ( a) business integration, ( b) system requirements integration, ( c) logical design integration, ( d) physical design and development integration, and ( e) implementation integration. Each phase carries a particular integration objective and develops unique integration products. An operational scenario tool is introduced as an implementation strategy for asset management.

2022 ◽  
pp. 48-68
Author(s):  
Renan Favarão da Silva ◽  
Gilberto Francisco Martha de Souza

Maintenance is one of the main stages to deliver business outcomes from physical assets over their life cycles. However, as unexpected events and performance may occur in maintenance management, organizations shall be aware of how to address them as well as other opportunities for improvement. Accordingly, this chapter intends to present an improvement framework for maintenance management. The first two sections provide an introduction to maintenance management improvement and its interface with the ISO 55000 series for asset management and the maintenance management model (MMM). Then, the proposed framework and its activities for improvement in maintenance management are discussed in the third section. The fourth section addresses an overview of the main RCA techniques to support the framework implementation. Finally, a hydroelectric power plant case study is discussed to demonstrate the framework in a real operational context.


CivilEng ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 193-213
Author(s):  
Inya Nlenanya ◽  
Omar Smadi

A 2017 survey of the state of practice on how agencies are developing their risk-based asset management plan shows that state highway agencies are increasingly adapting the way they do business to include explicit considerations of risks. At the moment, this consideration of risk is not linked to data. Hence, there is a lack of integration of risk management in driving strategic cross-asset programming and decision-making. This paper proposes and implements a risk management database framework as the missing piece in the full implementation of a risk-based transportation asset management program. This risk management database framework utilizes Geographic Information Systems (GIS) and Application Programming Interface (API) to implement a risk management database of all the relevant variables an agency needs for risk modeling to improve risk monitoring, risk register updates, and decision-making. This approach allows the use of existing enterprise as well as legacy data collection systems, which eliminates the need for any capital-intensive implementation cost. Furthermore, it provides transportation agencies with the ability to track risk in quantitative terms, a framework for prioritizing risk, and the development of an actionable plan for risk mitigation. In this paper, the implementation of the fully integrated GIS-enabled risk management database employs the Iowa department of transportation (DOT) data and risk register.


Author(s):  
Theodore A. Meyer ◽  
Robert K. Perdue ◽  
Joel Woodcock ◽  
G. Gary Elder

Experience has shown that proactive aging/asset management can best be defined as an ongoing process. Station goals directly supported by such a process include reducing Unplanned Capability Loss Factor and gaining the optimum value from maintenance and aging management budgets. An effective aging/asset management process must meet evolving and sometimes conflicting requirements for efficient and reliable nuclear power plant operation. The process should identify most likely contributors before they fail, and develop cost-effective contingencies. Current trends indicate the need for focused tools that give quantitative input to decision-making. Opposing goals, such as increasing availability while optimizing aging management budgets, must be balanced. Recognizing the importance of experience in reducing the uncertainty inherent in predicting equipment degradation rates, nuclear industry demographics suggest the need to capture existing expert knowledge in a usable form. The Proactive Aging/Asset Management Process has been developed to address these needs. The proactive approach is a process supported by tools. The process identifies goals and develops criteria — including safety, costs, and power production — that are used to prioritize systems and equipment across the plant. The process then draws upon tools to most effectively meet the plant’s goals. The Proactive Aging/Asset Management Model™ is one software-enabled tool designed for mathematical optimization. Results assist a plant in developing a plant-wide plan of aging management activities. This paper describes the proactive aging/asset management process and provides an overview of the methodology that has been incorporated in a model to perform a plant-wide optimization of aging management activities.


Author(s):  
Aine Mines ◽  
Darren Beckstrand ◽  
Paul D. Thompson ◽  
Bret Boundy ◽  
Scott Helm ◽  
...  

Recent federal regulations require states to develop risk-based transportation asset management (TAM) plans for bridge and pavement assets. These requirements are making TAM principles, and their related benefits and tools, familiar to a variety of sections within Departments of Transportation (DOTs) and prompting select DOTs to apply them to select geotechnical assets. The Montana Department of Transportation (MDT) recently completed a multi-year project to update its previous Rockfall Hazard Rating System (RHRS) into a Rock slope Asset Management Program (RAMP), incorporating some of these new tools. Incorporating risk into decision-making is important, but risk posed by deteriorating geotechnical assets is difficult for departments to quantify. Adverse event data are often collected in an ad-hoc fashion, with only the worst events attracting attention. As part of the RAMP project, an MDT-administered adverse event survey was combined with a statewide dataset of detailed rock slope assessments. These data were used to develop initial relationships between rock slope condition and adverse event likelihood per unit area of rock slope face. Annual likelihood of both service disrupting events and accidents was calculated for each rock slope in MDT’s database and used to identify high-risk corridors. Using established AASHTO methods, event likelihood was combined with traffic and detour data, generating site-specific estimates of annual safety and mobility risks, expressed in dollars, which can be incorporated into benefit/cost tools at various planning levels and permits dollar-to-dollar comparisons of the risks posed by rock slope assets to other actively managed assets.


Author(s):  
Inya Nlenanya ◽  
Omar Smadi

Risk management analysis is one of the new requirements under MAP-21 that separates transportation asset management programs from business as usual for the state departments of transportation (DOTs). Based on this requirement, each agency will discuss the concept of risk and how it should be incorporated into its transportation asset management program as well as how it informs maintenance practices, asset replacement or rehabilitation, and emergency management and response planning. This will require an agency to provide a list of risk exposures and document its system-wide risk management strategy. This paper presents the results of a state of the practice survey of how agencies are developing their risk-based asset management plan and discusses recommendations for future research. The results show that state highway agencies are increasingly adapting the way they do business to include explicit considerations of risks. At the moment, this consideration of risk is not linked to data, and as a result most agencies do not have a data driven way of tracking risk and updating their risk exposures. The significance of the results highlights the need for further research on data driven risk management and to synthesize methodologies for integrating risk assessment into an agency’s decision-making process.


2015 ◽  
Vol 141 (2) ◽  
pp. 04014080 ◽  
Author(s):  
Richard Sarpong Boadi ◽  
Adjo Amekudzi Kennedy ◽  
Jay Couture

Sign in / Sign up

Export Citation Format

Share Document