Journal articles: 'Infrastructure Engineering and Asset Management'

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Stratford, D., T. Stevens, M. Hamilton, and A. Dray. "Strategic asset management modelling of infrastructure assets." Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 163, no. 2 (June 2010): 111–22. http://dx.doi.org/10.1680/eacm.2010.163.2.111.

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OZAWA, Kazumasa. "Asset Management for Infrastructure." Journal of The Institute of Electrical Engineers of Japan 130, no. 2 (2010): 72–75. http://dx.doi.org/10.1541/ieejjournal.130.72.

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Pathirana, Assela, Frank den Heijer, and Paul B. Sayers. "Water Infrastructure Asset Management Is Evolving." Infrastructures 6, no. 6 (June 18, 2021): 90. http://dx.doi.org/10.3390/infrastructures6060090.

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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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Lim, Taehoon, Juan Diego Porras-Alvarado, and Zhanmin Zhang. "Pricing of highway infrastructure for transportation asset management." Built Environment Project and Asset Management 9, no. 1 (March 4, 2019): 64–79. http://dx.doi.org/10.1108/bepam-05-2018-0083.

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Purpose The purpose of this paper is to present a methodology for estimating the “price,” or the not-to-loss value, of individual highway assets, which reflects not only the assets’ capital value but also economic productivity, by adopting a productivity-based asset valuation framework. The price tags can be used in prioritizing highway assets in support of transportation asset management processes. Design/methodology/approach The methodology adopts the utility theory to consider multiple performance measures reflecting the economic productivity generated by the assets, as well as their capital value. Key performance measures are first selected, and their values are retrieved from highway asset management databases. Next, the utility functions representing decision makers’ preferences convert the performance measures into utility values, which adjust the replacement cost (RC) of each highway asset to estimate price tags. To demonstrate its applicability, case studies were conducted for the highway networks of Texas and Washington State in the USA. Findings The methodology yielded price tags that better reflect the importance of highways’ roles in the economy in comparison to methods where only RCs are used. Furthermore, it was proven to be flexible enough to accommodate local conditions such as varying data availability. Originality/value The research provides a practical and reasonable way to prioritize critical highway assets in purport of maintenance and rehabilitation resource allocations, based on their economic productivity as well as physical condition and historical cost information, enhancing the overall efficiency and effectiveness of highway asset management.

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Glendinning, S., J. Hall, and L. Manning. "Asset-management strategies for infrastructure embankments." Proceedings of the Institution of Civil Engineers - Engineering Sustainability 162, no. 2 (June 2009): 111–20. http://dx.doi.org/10.1680/ensu.2009.162.2.111.

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Lee, Sang-Youb, Seung-Keun Chung, and Jung-Keun Oh. "Demand forecasting based infrastructure asset management." KSCE Journal of Civil Engineering 8, no. 2 (March 2004): 165–72. http://dx.doi.org/10.1007/bf02829116.

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Sanford Bernhardt, Kristen L., J. Erik Loehr, and Daniel Huaco. "Asset Management Framework for Geotechnical Infrastructure." Journal of Infrastructure Systems 9, no. 3 (September 2003): 107–16. http://dx.doi.org/10.1061/(asce)1076-0342(2003)9:3(107).

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Turbaningsih, Oktaviani, and Ulfa Mutaharah. "The Adaptive Engineering Asset Management Framework for Sustainable Gas Terminal Infrastructures." IOP Conference Series: Earth and Environmental Science 1081, no. 1 (September 1, 2022): 012012. http://dx.doi.org/10.1088/1755-1315/1081/1/012012.

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Abstract The global initiative for decarbonisation keeps growing at a different rate for each country. The global decarbonisation rate, which presents the carbon intensity reduction or energy-related CO2 emissions per dollar GDP, reached 2.5% in 2020. Indonesia recorded contributing as the second-highest rate of emissions reduction in the global decarbonisation rate during 2019-2020 with a total of 10.6% less carbon intensity. Solid infrastructure asset management shall significantly improve to support the further decarbonisation movement. As one of the cleanest carbon energy, LNG could be the fastest solution to keeping the initiative. Unfortunately, it has a drawback: methane produces higher Green House gases (GHG) than CO2. Furthermore, LNG acts as a transition fuel while the global industry prepares for renewable energy resources. The authors propose Adaptive Port Planning (APP) and Engineering Asset Management (EAM) framework for managing the existing LNG infrastructure terminal assets in this study. The EAM combines a multidisciplinary approach to provide a framework for effectively managing all engineered physical assets within the organisation. In contrast, the APP will give the idea to count the uncertainty in infrastructure demand, allowing flexibility in planning. The author overviews the conversion or transition pathway for existing terminal gas infrastructure to support future renewable energy resources such as hydrogen and ammonia. The Adaptive EAM will guide the sustainable business mindset and provide cost-effective decarbonising solutions.

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Šelih, Jana, Anžej Kne, Aleksander Srdić, and Marjan Žura. "MULTIPLE‐CRITERIA DECISION SUPPORT SYSTEM IN HIGHWAY INFRASTRUCTURE MANAGEMENT." TRANSPORT 23, no. 4 (December 31, 2008): 299–305. http://dx.doi.org/10.3846/1648-4142.2008.23.299-305.

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Highway infrastructure represents a significant part of the public assets, and through its lifetime, is exposed to various deterioration processes leading to the depreciation of its value. It is therefore of vital importance to manage these assets aiming to reduce the loss of their value with time to a minimum. A typical task of road managers is making decisions related to maintenance, repair and rehabilitation based on data regarding the existing condition, risk of its use, life cycle costs and age. Road infrastructure is complex, and therefore the optimal choice of planned interventions is a delicate task often left to the road managers’ subjective judgment. The main goal of research work presented in the paper is the development of a multiple criteria decision support system to determine the priority ranking of asset rehabilitation projects. Results are presented for a selected case study that consists of 27 overpasses for a highway section. The data on the condition of crossovers obtained by regular inspection along their contribution to a structured database are essential. The selection of the set of asset rehabilitation projects is carried out by using the developed decision support system that includes the budget constraint option. The selected set of asset maintenance/rehabilitation projects meets best the pre‐defined combination of several criteria and therefore yields the maximized overall benefit. The results showing the selection criteria employed in the decision process and relative importance are crucial in obtaining the targeted goals. The selected criteria should therefore reflect the needs of the users and the actual conditions related to the assets.

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Yokota, Hiroshi, Kohei Nagai, Koji Matsumoto, and Yi Yi Mon. "Prospect for Implementation of Road Infrastructure Asset Management." Advanced Engineering Forum 21 (March 2017): 366–71. http://dx.doi.org/10.4028/www.scientific.net/aef.21.366.

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Infrastructure has to be adequately planned, designed, executed and maintained to keep its structural performance over respective requirements throughout its life-cycle. However, infrastructure suffering from serious deterioration in structural members and subsequent loss in performance have been often found due to various reasons. To meet these facts, it is extremely important to pursue coordination of engineering work in the stages of design, execution and maintenance. The infrastructure management including the concepts of the life-cycle management and the asset management is an organized system to support engineering-based decision making for ensuring sufficient structural performance and long life of a structure at the design, execution, maintenance, and all related work during its life-cycle. This paper deals with infrastructure management system and an example of its application for a road bridge from seriously deteriorated.

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Beitelmal, Wesam, Keith R. Molenaar, Amy Javernick-Will, and Eugenio Pellicer. "Challenges and barriers to establishing infrastructure asset management." Engineering, Construction and Architectural Management 24, no. 6 (November 20, 2017): 1184–202. http://dx.doi.org/10.1108/ecam-12-2015-0200.

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Purpose The increased need for, and maintenance of, infrastructure creates challenges for all agencies that manage infrastructure assets. To assist with these challenges, agencies implement asset management systems. The purpose of this paper is to investigate and compare the importance of barriers faced by agencies establishing transportation asset management systems in the USA and Libya to contrast a case of a developed and developing country. Design/methodology/approach A literature review identified 28 potential barriers for implementing an asset management system. Practitioners who participate in decision-making processes in each country were asked to rate the importance of each barrier in an online survey questionnaire. Descriptive statistics, Kendall Concordance W., and Mann-Whitney are used to analyze the collected data. Findings Through an analysis of 61 completed questionnaires, 14 barriers were identified as important by both the US and Libyan practitioners. A total of 11 additional barriers, primarily in the areas of political and regulatory obstacles, were determined to be important only for Libya. These 11 barriers provide reasonable insights into asset management systems’ barriers for developing countries. Practical implications The list of barriers identified from this research will assist decision makers to address and overcome these barriers when implementing asset management systems in their specific organizational and country conditions. Originality/value The research identified standard barriers to implementing asset management systems and identified barriers that were specific to the country context, such as political and regulatory barriers in Libya. When viewed with the asset management literature, the results show broad applicability of some asset management barriers and the need to contextualize to country context (e.g. developing countries) for other barriers.

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Halfawy, Mahmoud R., Dana J. Vanier, and Thomas M. Froese. "Standard data models for interoperability of municipal infrastructure asset management systems." Canadian Journal of Civil Engineering 33, no. 12 (December 1, 2006): 1459–69. http://dx.doi.org/10.1139/l05-098.

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Efficient management of infrastructure assets depends largely on the ability to efficiently share, exchange, and manage asset life-cycle information. Although software tools are used to support almost every asset management process in municipalities, data exchange is mainly performed using paper-based or neutral file formats based on ad hoc proprietary data models. Interoperability of various asset management systems is crucial to support better management of infrastructure data and to improve the information flow between various work processes. Standard data models can be used to significantly improve the availability and consistency of asset data across different software systems, to integrate data across various disciplines, and to exchange information between various stakeholders. This paper surveys a number of data standards that might be used in implementing interoperable and integrated infrastructure asset management systems. The main requirements for standard data models are outlined, and the importance of interoperability from an asset management perspective is highlighted. The role that spatial data and geographic information systems (GIS) can play in enhancing the efficiency of managing asset life-cycle data is also discussed. An ongoing effort to develop a standard data model for sewer systems is presented, and an example implementation of interoperable GIS and hydraulic modeling software is discussed.Key words: data standards, municipal infrastructure, asset management, data models, interoperability.

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Prescott, Darren. "Special issue on Railway Infrastructure Asset Management." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 227, no. 4 (June 24, 2013): 309. http://dx.doi.org/10.1177/0954409713491043.

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Serrano, Will. "Smart or Intelligent Assets or Infrastructure: Technology with a Purpose." Buildings 13, no. 1 (January 4, 2023): 131. http://dx.doi.org/10.3390/buildings13010131.

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Smart or intelligent built assets including infrastructure, buildings, real estate, and cities provide enhanced functionality to their different users such as occupiers, passengers, consumers, patients, managers or operators. This enhanced functionality enabled by the Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Mobile Apps, Virtual Reality (VR) and 5G does not only translate into a superior user experience; technology also supports sustainability and energy consumption to meet regulation (ESG, NZC) while optimising asset management and operations for enhanced business economic performance. The main peculiarity is that technology is standardised, ubiquitous and independent from the physical built assets whereas asset users including humans, machines and devices are also common to different assets. This article analyses the atomic differences between built assets and proposes an asset omni-management model based on micro-management of services that will support the macro-functionality of the asset. The proposed key concept is based on the standardisation of different assets based on common and specific functionality and services delivered by the technology stack that is supporting already the transition to Industry 5.0 based on Web 3.0 and Tokenisation.

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Beitelmal, Wesam H., Keith R. Molenaar, Amy Javernick-Will, and Omar Smadi. "Strategies to Enhance Implementation of Infrastructure Asset Management in Developing Countries." Transportation Research Record: Journal of the Transportation Research Board 2646, no. 1 (January 2017): 39–48. http://dx.doi.org/10.3141/2646-05.

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Infrastructure around the world is deteriorating, particularly in developing countries, where systems for managing infrastructure assets are immature or nonexistent. Because of successful implementation of infrastructure asset management in developed countries, there are promising approaches to address the difficulties faced by developing countries’ infrastructure organizations and their managers. This paper presents an infrastructure asset management organizational model to help decision makers in developing countries explore the impact of various strategies on the organization’s performance in a variety of external conditions. These decisions will support managers in implementing infrastructure asset management in their organizations. The researchers first categorized countries into three classes according to external conditions: supportive, intermediate, or unsupportive environments. Then a cross-impact analysis model was applied to simulate the impacts of strategy alternatives, drivers, and processes on outcome measurements, given this variety of external conditions. The findings show that organizations in each class should focus on implementing a specific strategy correlating to the external variable’s conditions. For instance, organizations that work in an intermediate environment should build a strong communication networking strategy before investing in organizational support or organizational structure strategies.

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Jofré-Briceño, Constanza, Felipe Muñoz-La Rivera, Edison Atencio, and Rodrigo F. Herrera. "Implementation of Facility Management for Port Infrastructure through the Use of UAVs, Photogrammetry and BIM." Sensors 21, no. 19 (October 8, 2021): 6686. http://dx.doi.org/10.3390/s21196686.

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The maintenance of port infrastructures presents difficulties due to their location: an aggressive environment or the variability of the waves can cause progressive deterioration. Maritime conditions make inspections difficult and, added to the lack of use of efficient tools for the management of assets, planning maintenance, important to ensure operability throughout the life cycle of port infrastructures, is generally not a priority. In view of these challenges, this research proposes a methodology for the creation of a port infrastructure asset management tool, generated based on the Design Science Research Method (DSRM), in line with Building Information Modeling (BIM) and digitization trends in the infrastructure sector. The proposal provides workflows and recommendations for the survey of port infrastructures from UAVs, the reconstruction of digital models by photogrammetry (due to scarce technical documentation), and the reconstruction of BIM models. Along with this, the bidirectional linking of traditional asset management spreadsheets with BIM models is proposed, by visual programming, allowing easy visualization of the status and maintenance requirements. This methodology was applied to a port infrastructure, where the methodology demonstrated the correct functionality of the asset management tool, which allows a constant up-dating of information regarding the structural state of the elements and the necessary maintenance activities.

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Abu-Samra, Soliman, Mahmoud Ahmed, and Luis Amador. "Asset Management Framework for Integrated Municipal Infrastructure." Journal of Infrastructure Systems 26, no. 4 (December 2020): 04020039. http://dx.doi.org/10.1061/(asce)is.1943-555x.0000580.

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Esmaili, Daryush, and Tamer E. El-Diraby. "Organizational competency in urban water infrastructure asset management." Canadian Journal of Civil Engineering 44, no. 12 (December 2017): 1056–70. http://dx.doi.org/10.1139/cjce-2017-0011.

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This paper presents an organizational performance measurement framework for guiding the development of organizational competencies to manage water infrastructure assets. The framework was validated through interviews and surveys with professionals. The framework includes three major dimensions for competency: technical activities, organizational management, and information and knowledge management. Across these levels, it presents 11 core critical success factors. It also provides a set of quantitative performance measures for municipal asset management teams and organizations. The framework serves as means to guide public policy makers in establishing policies and guidelines for enhancing municipal capacity in project management in the context of infrastructure assets. It also can help municipalities in defining gaps and areas of improvement. The framework is not intended to be universal. No model can make this claim given the drastic differences in legal and political setting in different jurisdictions. The proposed framework, however, can serve as a benchmark for other work in related contexts.

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Ferreira, Bruno, and Nelson J. G. Carriço. "Urban Water Infrastructure Asset Management Plan: Case Study." Open Engineering 9, no. 1 (October 2, 2019): 459–67. http://dx.doi.org/10.1515/eng-2019-0058.

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AbstractThe current paper aims the application of the Portuguese infrastructure asset management (IAM) methodology to a case study. The inevitable degradation of urban water infrastructures creates new challenges for water utilities engineers and manager, as they need to decide which components should be rehabilitated to efficiently match the public’s demand, while still providing a qualitative and efficient service that doesn’t compromise the financial integrity of water utilities.This methodology is based on a five-step structured sequence - (i) definition of objectives assessment criteria and metrics; (ii) diagnosis; (iii) plan production; (iv) plan implementation; and (v) monitoring and revision – being structured in three distinct levels of planning and decision (i.e., strategic, tactical and operational). The IAM methodology was applied to a sixty-year-old water supply system (WSS) located in Lisbon’s metropolitan area, Portugal, mainly focused on steps (i) to (iii) and to the tactical level of planning. Results obtained are discussed and the main conclusions are presented.

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Marlow, David, Leonie Pearson, Darla Hatton MacDonald, Stuart Whitten, and Stewart Burn. "A framework for considering externalities in urban water asset management." Water Science and Technology 64, no. 11 (December 1, 2011): 2199–206. http://dx.doi.org/10.2166/wst.2011.789.

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Urban communities rely on a complex network of infrastructure assets to connect them to water resources. There is considerable capital investment required to maintain, upgrade and extend this infrastructure. As the remit of a water utility is broader than just financial considerations, infrastructure investment decisions must be made in light of environmental and societal issues. One way of facilitating this is to integrate consideration of externalities into decision making processes. This paper considers the concept of externalities from an asset management perspective. A case study is provided to show the practical implications to a water utility and asset managers. A framework for the inclusion of externalities in asset management decision making is also presented. The potential for application of the framework is highlighted through a brief consideration of its key elements.

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Tao, Zongwei, F. Gordon Zophy, and John Wiegmann. "Asset Management Model and Systems Integration Approach." Transportation Research Record: Journal of the Transportation Research Board 1719, no. 1 (January 2000): 191–99. http://dx.doi.org/10.3141/1719-25.

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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.

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Sousa, V., J. P. Matos, N. Almeida, and J. Saldanha Matos. "Risk assessment of sewer condition using artificial intelligence tools: application to the SANEST sewer system." Water Science and Technology 69, no. 3 (November 23, 2013): 622–27. http://dx.doi.org/10.2166/wst.2013.758.

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Operation, maintenance and rehabilitation comprise the main concerns of wastewater infrastructure asset management. Given the nature of the service provided by a wastewater system and the characteristics of the supporting infrastructure, technical issues are relevant to support asset management decisions. In particular, in densely urbanized areas served by large, complex and aging sewer networks, the sustainability of the infrastructures largely depends on the implementation of an efficient asset management system. The efficiency of such a system may be enhanced with technical decision support tools. This paper describes the role of artificial intelligence tools such as artificial neural networks and support vector machines for assisting the planning of operation and maintenance activities of wastewater infrastructures. A case study of the application of this type of tool to the wastewater infrastructures of Sistema de Saneamento da Costa do Estoril is presented.

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Kilsby, Paul, Rasa Remenyte-Prescott, and John Andrews. "A Petri Net-based life cycle cost analysis approach." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 233, no. 1 (June 3, 2018): 90–102. http://dx.doi.org/10.1177/0954409718780106.

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Railway infrastructure providers, such as Network Rail, who owns and manages the British railway infrastructure, can improve the performance and reduce the life cycle cost of their assets through delivering effective asset management. Having the capability to use computer-based models to predict the future performance and life cycle cost of an asset group is a key enabling mechanism for implementing effective asset management. Decision makers can determine the optimum maintenance strategy and the best allocation of capital expenditure based on evidence from modelling results. This paper shows how probabilistic modelling can be used to evaluate asset management projects of the railway overhead line equipment system and undertake a life cycle cost analysis through the use of a stochastically timed high-level Petri Net. A complete modelling framework has been developed, where the components and their maintenance strategies are selected as inputs, and the Petri Net model is used to calculate outputs associated with the performance and life cycle cost of the overhead line equipment system for the corresponding components and strategies considered. This paper presents the practical use of the developed model and describes how the outputs can be used by asset managers to understand the expected system performance and cost over its life cycle. The range of outputs described are the most detailed for such models studying the overhead line equipment and other engineering systems in literature. Whilst the railway overhead line equipment system is used as an example study, the modelling framework is transferable to asset management projects for other engineering systems.

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Amekudzi-Kennedy, Adjo, Samuel Labi, and Prerna Singh. "Transportation Asset Valuation: Pre-, Peri- and Post-Fourth Industrial Revolution." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 12 (June 28, 2019): 163–72. http://dx.doi.org/10.1177/0361198119846470.

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A critical component of transportation asset management, asset valuation has been applied historically largely to provide condition-based value assessments of transportation infrastructure. There are emerging opportunities for innovations in asset valuation methodology with applications in the MAP-21/FAST performance-based era, and the Fourth Industrial Revolution (4IR). Opportunities exist to incorporate a wider range of value factors to capture multiple objectives in planning, design, and rehabilitation, such as safety, mobility, economic advancement, resilience, sustainability, and equity, to reflect the growing importance of intangible assets, as well as consider more explicitly value-adding technologies in this era of smarter infrastructure and rapid technological change. The paper first examines existing methods in transportation asset valuation practice and trends in asset valuation thinking through a literature review on asset valuation methodology with transportation applications. It then outlines innovation pathways and future research directions in asset valuation that can enhance existing capabilities to capture an expanding notion of transportation infrastructure value in the 21st century. For transportation professionals with continuing interest in valuation approaches to enhance asset management, this paper offers a catalog for identifying appropriate valuation approaches. For researchers and practitioners interested in pursuing innovations to secure increasingly smart, effective, and efficient transportation systems, the paper outlines innovation pathways and research directions enabled by growing computing power and data collection capabilities in the 4IR.

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Kumaraswamy, Mohan. "Editorial: integrating “infrastructure project management” with its “built asset management”." Built Environment Project and Asset Management 1, no. 1 (July 8, 2011): 5–13. http://dx.doi.org/10.1108/20441241111143740.

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Hall, James P., Rob Robinson, and Mary Ann Paulis. "Enterprisewide Spatial Data Integration of Legacy Systems for Asset Management." Transportation Research Record: Journal of the Transportation Research Board 1917, no. 1 (January 2005): 11–17. http://dx.doi.org/10.1177/0361198105191700102.

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This paper describes the spatial information system infrastructure implemented by the Illinois Department of Transportation (IDOT) to enable delivery of information to management decision makers in asset management applications. This spatial data warehouse infrastructure makes extensive use of geographic information system (GIS) technologies to integrate information from a variety of database structures and formats. GIS products and tools have been developed to portray and analyze these data in useful combinations focused on practitioner needs. In June 1999 the Governmental Accounting Standards Board issued Statement 34 requiring governments to have a systematic approach to managing their assets. As a result, transportation agencies have placed an increased emphasis on developing mechanisms to integrate information from disparate management information systems and legacy databases. IDOT has used GIS to develop a spatial data warehouse to enable integration. A valuable characteristic of the department's information systems infrastructure is the embedding of the underlying link–node structure into roadway inventory databases to enable the direct linkage of data through various system identifiers, including differing milepost referencing and project numbering schemes. This direct linkage enables the complex integration of asset management–related data files across the enterprise and provides access to historical asset information. Changes to route referencing systems are readily accommodated, without loss of integrative capabilities. Outputs include a variety of user-developed analyses and output products with accessibility through networks, intranets, and the Internet.

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Alegre, Helena. "Is strategic asset management applicable to small and medium utilities?" Water Science and Technology 62, no. 9 (November 1, 2010): 2051–58. http://dx.doi.org/10.2166/wst.2010.509.

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Urban water infrastructures provide essential services to modern societies and represent a major portion of the value of municipal physical assets. Managing these assets rationally is therefore fundamental for the sustainability of the services and to the economy of societies. “Asset Management” (AM) is a modern term for an old practice—assets have always been managed. In recent years, significant evolution occurred in terms of the AM formal approaches, of the monitoring and decision support tools and of the implementation success cases. However, most tools developed are too sophisticated and data seek for small utilities. The European R&D network COST Action C18 ( www.costc18.org) identified key research problems related to the management of urban water infrastructures, currently not covered by on-going projects of the European Framework Program. The top 1 topic is “Efficient management of small community”. This paper addresses challenges and opportunities for small and medium utilities with regard to infrastructure AM (IAM). To put this into context, the first sections discuss the need for IAM, highlight key recent developments, and present IAM drivers, as well as research and development gaps, priorities and products needed.

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Howard, R. J. "Infrastructure asset management under Australian Accounting Standard 27 (AAS27)." Proceedings of the Institution of Civil Engineers - Municipal Engineer 145, no. 4 (December 2001): 305–10. http://dx.doi.org/10.1680/muen.2001.145.4.305.

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Lamm, Kurt R., Justin D. Delorit, Michael N. Grussing, and Steven J. Schuldt. "Improving Data-Driven Infrastructure Degradation Forecast Skill with Stepwise Asset Condition Prediction Models." Buildings 12, no. 8 (August 22, 2022): 1288. http://dx.doi.org/10.3390/buildings12081288.

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Organizations with large facility and infrastructure portfolios have used asset management databases for over ten years to collect and standardize asset condition data. Decision makers use these data to predict asset degradation and expected service life, enabling prioritized maintenance, repair, and renovation actions that reduce asset life-cycle costs and achieve organizational objectives. However, these asset condition forecasts are calculated using standardized, self-correcting distribution models that rely on poorly-fit, continuous functions. This research presents four stepwise asset condition forecast models that utilize historical asset inspection data to improve prediction accuracy: (1) Slope, (2) Weighted Slope, (3) Condition-Intelligent Weighted Slope, and (4) Nearest Neighbor. Model performance was evaluated against BUILDER SMS, the industry-standard asset management database, using data for five roof types on 8549 facilities across 61 U.S. military bases within the United States. The stepwise Weighted Slope model more accurately predicted asset degradation 92% of the time, as compared to the industry standard’s continuous self-correcting prediction model. These results suggest that using historical condition data, alongside or in-place of manufacturer expected service life, may increase the accuracy of degradation and failure prediction models. Additionally, as data quantity increases over time, the models presented are expected to improve prediction skills. The resulting improvements in forecasting enable decision makers to manage facility assets more proactively and achieve better returns on facility investments.

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John A, Shibu. "Asset Inspection Management System as a Reliable Inspection/ Monitoring Tool." Materials Evaluation 78, no. 12 (December 1, 2020): 1276–85. http://dx.doi.org/10.32548/2020.me-04125.

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Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).

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Ghadimi, Shahrouz J., Sandra N. Gutierrez, and Carlos M. Chang. "Integrating Guardrail System Preservation Policies into Asset Management Practices." Transportation Research Record: Journal of the Transportation Research Board 2646, no. 1 (January 2017): 49–56. http://dx.doi.org/10.3141/2646-06.

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Asset management provides a strategic framework for infrastructure systems and focuses on getting the most out of their performance with the available resources. To determine future budget needs, highway agencies must have the necessary data and analytical tools with which to predict the performance of highway assets over time. Currently, transportation asset management systems are at different maturity levels. Pavement and bridges are considered the big ticket of all highway assets, but the preservation of signs, signals, lighting, guardrails, and pavement markings is also crucial to protect road users. Despite its importance, one of the safety assets with fewer asset management analytical tools is guardrail systems. Transportation agencies typically replace or repair guardrails that have endured major damage from car crashes. To implement a proactive preservation program, in agreement with transportation asset management practices, various parameters must be known. These parameters include inventory information, current guardrail condition, and performance models to forecast changes in the guardrail system condition over time. This paper describes a performance-based model with an analytical method to formulate a proactive preservation program for guardrail systems. The model was developed from inventory data and predicts changes in the guardrail system condition over time. A case study estimates the annual agency costs and backlogged costs over a 10-year analysis period. This model can be integrated into an asset management system to facilitate the formulation of preservation programs for guardrail systems at the strategic level.

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Stalebrink, Odd J., and Jonathan L. Gifford. "Transportation Asset Management: The Value of Enterprise-Based Financial Reporting." Transportation Research Record: Journal of the Transportation Research Board 1729, no. 1 (January 2000): 51–56. http://dx.doi.org/10.3141/1729-07.

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The adoption of enterprise-based financial reporting practices in the public transportation infrastructure has the potential to facilitate the use of profitability analysis and, thus, the management of public transportation infrastructure assets. However, a major challenge for successful implementation is the ability to generate in a public setting what the Governmental Accounting Standards Board refers to as “satisfactory” system input values. Because market prices are not generated in these environments, they must be simulated. Two promising approaches for generating such measurements are reviewed: benefit-cost analysis and econometric studies of the productivity impacts of infrastructure investments (on productivity studies). Although the two approaches are subject to several weaknesses that inhibit them from generating satisfactory system input values, ongoing methodological advances in both indicate fair prospects for generating such values in the future. Therefore, a dismissal of enterprise financial reporting practices for public transportation infrastructure may be premature.

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Morales, F. J., A. Reyes, N. Caceres, L. Romero, and F. G. Benitez. "Automatic Prediction of Maintenance Intervention Types in Roads using Machine Learning and Historical Records." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 44 (August 6, 2018): 43–54. http://dx.doi.org/10.1177/0361198118790624.

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A methodology to support and automate the prediction of maintenance intervention alerts in transport linear-asset infrastructures can greatly aid maintenance planning and management. This paper proposes a methodology combining the current and predicted conditions of the assets, and unit components of the infrastructure, with operational and historical maintenance data, to derive information about maintenance interventions needed to avoid later severe degradation. By means of data analytics and machine learning techniques, the proposed methodology generates a prioritized listing, ranked on severity levels, corresponding to the pre-alerts and alerts generated for all assets of the transport infrastructure. The methodology is applied and tested in a real case consisting of a road network with different section classes. The analysis of the results shows that the algorithms and tools developed have good predicting capabilities.

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Schraven, Daan, Andreas Hartmann, and Geert Dewulf. "Effectiveness of infrastructure asset management: challenges for public agencies." Built Environment Project and Asset Management 1, no. 1 (July 8, 2011): 61–74. http://dx.doi.org/10.1108/20441241111143786.

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Liu, YuanChi, and Sue McNeil. "Using Resilience in Risk-Based Asset Management Plans." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 4 (March 14, 2020): 178–92. http://dx.doi.org/10.1177/0361198120912239.

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Each state in the U.S.A. is required to develop and maintain a risk-based transportation asset management plan for the National Highway System (NHS) to improve or preserve the condition of the assets and the performance of the system. Awareness of natural hazards and extreme weather events has also increased with recent catastrophic hurricanes, such as Matthew (October, 2016) and Harvey (August, 2017), which caused significant inland floods in Robeson County, North Carolina, and Houston, Texas, respectively. These recent events and the damage to transportation infrastructure has also focused attention on the resilience of transportation networks. However, an integrated, consistent, well-understood method to assess or quantify the resilience of transportation networks is still lacking. This paper reviews the relevant concepts, legislative requirements that link asset management, risk and resilience, and tools available to support risk-based asset management. Based on a review of the transportation asset management plans developed by 49 state departments of transportation in 2018 and 2019, the paper summarizes the approaches to the risk management section of these asset management plans and the role resilience plays. Opportunities to better integrate resilience into the risk-based asset management plans are then identified. Examples are presented that demonstrate the role of resilience-related technical performance measures that reflect decisions related to flooding in the various stages of the disaster cycle (preparedness, response, recovery, and mitigation).

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Caldera, Savindi, Sherif Mostafa, Cheryl Desha, and Sherif Mohamed. "Exploring the Role of Digital Infrastructure Asset Management Tools for Resilient Linear Infrastructure Outcomes in Cities and Towns: A Systematic Literature Review." Sustainability 13, no. 21 (October 29, 2021): 11965. http://dx.doi.org/10.3390/su132111965.

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Linear infrastructure such as roads, railways, bridges and tunnels enable critical functionality within and between metropolitan and regional cities and towns, facilitating the movement of goods and services, as part of vibrant, thriving economies. However, these asset types are typically challenged by costly asset management schedules and continually eroding maintenance and refurbishment budgets. These challenges are compounded by the increasing frequency and intensity of disruptive events such as fire, floods, and storm-surge that can damage or destroy property. The United Nations Sustainable Development Goal 9 (SDG-9) highlights the urgent need for enabling evidence-based decision making for infrastructure asset management (IAM). Around the world, digital engineering (DE) efforts are underway to streamline the capture, processing, and visualization of data for IAM information requirements, towards timely and evidence-based decision support that enables resilient infrastructure outcomes. However, there is still limited understanding about which IAM information can be digitized and the types of tools that can be used. This study sought to address this knowledge gap, through reviewing the extent of available and emerging linear infrastructure related DE technologies and their IAM information requirements. A systematic literature review elicited 101 relevant conceptual and empirical papers, which were subsequently evaluated with regard to the extent and characteristics of digital infrastructure asset management tools. Findings are discussed using three themes that emerged from the analysis: (1) DE tools and their IAM asset information requirements; (2) Interoperability and integration of DE tools across IAM platforms; and (3) Application of DE tools to enable resilient linear infrastructure outcomes. A ‘Digital Technology Integration Matrix’ is presented as an immediately useful summary for government and industry decision-makers, particularly in the field of disaster management preparedness and recovery. The Matrix communicates the synthesis of tools and likely end-users, to support effective data gathering and processing towards more timely and cost-effective infrastructure asset management. The authors conclude with a research roadmap for academics, including recommendations for future investigation.

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Zeb, Jehan, Thomas Froese, and Dana Vanier. "An ontology-supported asset information integrator system in infrastructure management." Built Environment Project and Asset Management 5, no. 4 (September 7, 2015): 380–97. http://dx.doi.org/10.1108/bepam-02-2014-0012.

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Purpose – The purpose of this paper is to develop and apply an ontology-supported asset information integrator system (AIIS) in the domain of infrastructure management. The two objectives are: first, to describe how different ontologies developed as part of this research support the design of message templates (MTs) that were implemented in the AIIS; and second, to explain the development and application of the prototype system for tangible capital asset (TCA) reporting. Design/methodology/approach – The proposed system was developed in the MS SharePoint platform using a four-step methodology: create a web site and library; review and modify MTs; design and configure workflows; and add functionalities. Findings – First, the architecture, methodology, and evaluation of the two ontologies: Transaction Domain Ontology and Tangible Capital Asset Ontology, developed as part of this research work were briefly introduced to describe how both the ontologies supported the design of MTs that were implemented in the AIIS. Second, the AIIS was successfully developed and applied in the domain of infrastructure management for the Asset Inventory and Condition Assessment Reporting. Practical implications – The development of the AIIS would enable industry experts to exchange the tangible capital information. The built-in search engine and history services would help the experts to search a transaction and track the transaction history. The real-time visualisation of the data would help in decision making. Originality/value – Infrastructure agencies use diversified information systems to manage infrastructure systems. Due to propriety nature of the information systems, the TCA data generated is heterogeneous and inconsistent, which make it difficult to exchange with other organisations. Also, the existing applications focus on processing and managing the TCA data for a variety of tasks; however, lack to support data exchange with other organisations. This emphasises the gap that requires the development of an ontology-supported collaboration system in the domain of infrastructure asset management.

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Halfawy, Mahmoud R. "Integration of Municipal Infrastructure Asset Management Processes: Challenges and Solutions." Journal of Computing in Civil Engineering 22, no. 3 (May 2008): 216–29. http://dx.doi.org/10.1061/(asce)0887-3801(2008)22:3(216).

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Rama, Dovile, and John D. Andrews. "Railway infrastructure asset management: the whole-system life cost analysis." IET Intelligent Transport Systems 10, no. 1 (February 1, 2016): 58–64. http://dx.doi.org/10.1049/iet-its.2015.0030.

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Freeman, Danny, Ashish Tiwari, and Shriram Singh. "Securing Grid Infrastructure Resilience Through Improved Capital Asset Planning and Management." Climate and Energy 38, no. 10 (April 6, 2022): 16–23. http://dx.doi.org/10.1002/gas.22286.

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Amekudzi, Adjo, Pannapa Herabat, Shuchun Wang, and Creighton Lancaster. "Multipurpose Asset Valuation for Civil Infrastructure: Aligning Valuation Approaches with Asset Management Objectives and Stakeholder Interests." Transportation Research Record: Journal of the Transportation Research Board 1812, no. 1 (January 2002): 211–18. http://dx.doi.org/10.3141/1812-26.

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Herrera, Manuel, Manu Sasidharan, Jorge Merino, and Ajith K. Parlikad. "Handling Irregularly Sampled IoT Time Series to Inform Infrastructure Asset Management." IFAC-PapersOnLine 55, no. 19 (2022): 241–45. http://dx.doi.org/10.1016/j.ifacol.2022.09.214.

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Dornan, Daniel L. "Asset management: remedy for addressing the fiscal challenges facing highway infrastructure." International Journal of Transport Management 1, no. 1 (February 2002): 41–54. http://dx.doi.org/10.1016/s1471-4051(01)00005-2.

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Imani, Maryam, and Donya Hajializadeh. "A resilience assessment framework for critical infrastructure networks' interdependencies." Water Science and Technology 81, no. 7 (November 6, 2019): 1420–31. http://dx.doi.org/10.2166/wst.2019.367.

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Abstract Critical infrastructures (CIs) provide essential services to the society. As infrastructures are becoming more interdependent, there is an increasing need for better management of their interactions and interdependencies. Interdependencies among CI can cause cascading failures and, hence, amplify negative consequences due to these failures. This can also affect CIs' service restoration rate and consequently reduce their resilience in coping with these hazardous events. The common challenge currently faced by CI asset owners is the lack of robust resilience-informed business planning and management strategies in response to interdependent assets' failures due to low-probability/high-impact hazards. This is of particular importance as CI owners and managers are investing more on improving the resilience of their assets in response to extreme environmental hazards. This study has approached CI nexus from the interdependency management point of view. It has developed an integrated resilience assessment framework to identify and map interdependency-induced vulnerabilities in critical infrastructure networks. This framework can potentially support effective management of the interdependencies in CI networks. The findings have been reflected in mapping the connection between the changes in resilience due to interdependency-induced failures and the cost of intervention scenarios, providing means of exploring shared intervention strategies.

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Chen, Lin, Theunis F. P. Henning, Andrea Raith, and Asaad Y. Shamseldin. "Multiobjective Optimization for Maintenance Decision Making in Infrastructure Asset Management." Journal of Management in Engineering 31, no. 6 (November 2015): 04015015. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000371.

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Pai, Sai G. S., Yves Reuland, and Ian F. C. Smith. "Data-Interpretation Methodologies for Practical Asset-Management." Journal of Sensor and Actuator Networks 8, no. 2 (June 22, 2019): 36. http://dx.doi.org/10.3390/jsan8020036.

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Monitoring and interpreting structural response using structural-identification methodologies improves understanding of civil-infrastructure behavior. New sensing devices and inexpensive computation has made model-based data interpretation feasible in engineering practice. Many data-interpretation methodologies, such as Bayesian model updating and residual minimization, involve strong assumptions regarding uncertainty conditions. While much research has been conducted on the scientific development of these methodologies and some research has evaluated the applicability of underlying assumptions, little research is available on the suitability of these methodologies to satisfy practical engineering challenges. For use in practice, data-interpretation methodologies need to be able, for example, to respond to changes in a transparent manner and provide accurate model updating at minimal additional cost. This facilitates incremental and iterative increases in understanding of structural behavior as more information becomes available. In this paper, three data-interpretation methodologies, Bayesian model updating, residual minimization and error-domain model falsification, are compared based on their ability to provide robust, accurate, engineer-friendly and computationally inexpensive model updating. Comparisons are made using two full-scale case studies for which multiple scenarios are considered, including incremental acquisition of information through measurements. Evaluation of these scenarios suggests that, compared with other data-interpretation methodologies, error-domain model falsification is able to incorporate, iteratively and transparently, incremental information gain to provide accurate model updating at low additional computational cost.

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Shojaei, Alireza, Jun Wang, and Andriel Fenner. "Exploring the feasibility of blockchain technology as an infrastructure for improving built asset sustainability." Built Environment Project and Asset Management 10, no. 2 (November 12, 2019): 184–99. http://dx.doi.org/10.1108/bepam-11-2018-0142.

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Purpose The purpose of this paper is to show the feasibility of blockchain technology to perform as an infrastructure for improving built asset sustainability by providing all the necessary information for better decision making at all the stages of its life cycle. Design/methodology/approach Blockchain technology can be used as a tool to build a reliable and secure decentralized information system to capture and disseminate all the data required for different sustainability assessment models. A model is designed and tested through a synthetic scenario to substantiate the research objective with empirical work. Findings It is shown that blockchain can revolutionize the current state of knowledge for long-term sustainability thinking and provide necessary information in different stages of the life cycle of a built asset. With the proposed decentralized, transparent and comprehensive database using blockchain, the life cycle assessment methods can become much more inclusive and reliable. The new holistic analysis of the built asset sustainability enables better decision making in design, build, operation and demolition of each asset. Originality/value This paper proposes and tests a model for using blockchain as an infrastructure to support built asset sustainability. Practitioners from different backgrounds at different stages of a built asset life cycle can use such a network to make better decisions and better assess the sustainability of their built assets.

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Mo, John PT, and Anthony Caporaso. "Simulation analysis of engineering business process in asset sustainment activities based on total cost of ownership." International Journal of Engineering Business Management 13 (January 1, 2021): 184797902110101. http://dx.doi.org/10.1177/18479790211010125.

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Major assets such as buildings, infrastructure and defence systems are long term investments that require many outsourced sustainment activities to maintain satisfactory performances over their service life. When multiplied by the number of years that the sustainment is planned to be undertaken, the contracting cost is high. Many business processes are established to govern these asset sustainment activities and eventually become the source of inefficiency. This paper analyses the performance of these processes using a performance driven approach. Combined with input data of requests for engineering change in similar assets, this paper evaluates a new business process redesigned from an existing process to achieve significant savings in total cost of ownership as well as improving other non-financial performance indicators.

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Obicci, Peter Adoko. "Physical Asset Management Practices And Quality Service Delivery In Local Governments In Mid North Sub-Region Of Uganda." International Journal of social Sciences and Economic Review 1, no. 3 (December 27, 2019): 73–79. http://dx.doi.org/10.36923/ijsser.v1i3.39.

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Purpose of the study: Amidst soaring use of excellent physical assets, there is a less clear understanding of their weight on service delivery. Drawing on the contention that quality services delivery relies on excellent physical assets, the study aimed to establish how physical asset management practices affect quality service delivery in local governments in the mid-north sub-region of Uganda. Methodology: The study used a cross-sectional design with a quantitative approach. A sample of 131 respondents was targeted and obtained using simple random and purposive sampling of physical asset managers in local governments. Collected data using a self-administered questionnaire was analyzed quantitatively (descriptive and inferential statistics) using Statistical Program for Social Scientists (SPSS Ver. 23). Main Findings: Findings revealed that there was a positive correlation between physical asset management practices (rho.506) and quality service delivery. Accordingly, it was concluded that physical asset management practices, measured in terms of lifecycle planning, risk management, information management and performance management significantly affected quality service delivery in local governments in the mid-north sub-region of Uganda. Research limitations/implications: The study used a quantitative approach in two local governments with probable missed out on qualitative aspects aside difficulty in generalizability. However, it enlightens theoreticians and practitioners in ensuring proper execution of physical asset management practices in engineering, infrastructure, estate, finance and above all public procurement; for the provision of quality services desired and expected by the different stakeholders. Novelty/Originality of this study: This study parallels those in developed countries which reveal that success in quality service delivery is a result of using excellent physical assets. However, in developing countries studies are nearly nonexistent. Essentially, there is a paucity of research addressing the subject creating a need to study and systematically document elevation of delivery of quality services using excellent physical assets.

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Too, Eric G. "Capability Model to Improve Infrastructure Asset Performance." Journal of Construction Engineering and Management 138, no. 7 (July 2012): 885–96. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000489.

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Journal articles on the topic 'Infrastructure Engineering and Asset Management'

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