With the increasing cost of new construction projects, keeping the built facilities at acceptable levels of functionality has become a vital and challenging task. This is particularly so for non-residential buildings, such as schools, which are important infrastructure assets that require frequent maintenance and repair of their many components and sub-components. Maintenance and repair jobs, however, involve huge sets of data which contain useful interrelated information about costs, resources, conditions, and productivity. To support decision making at different management levels with respect to the utilization of resources requires the managing, analyzing, and visualizing of these huge amount of data. This thesis presents a simple and inexpensive approach to managing, reporting, and facilitating the visualization of maintenance and repair data for school buildings. The proposed model conveniently integrates widely used spreadsheet software – MS Excel – and Geographic Information System (GIS) software – MS MapPoint. The spreadsheet’s simple and powerful capability of managing data is exploited to design a data warehouse that can facilitate reporting and visualization. The Visual Basic for Applications (VBA) programming language was used to facilitate the integration between the two software systems and to automate the generation of a variety of reports and maps that can show analysis trends, reveal hidden relationships, and support decision making for different management levels. A real-life case study involving two years of maintenance data for 93 schools at the Toronto District School Board (TDSB) is used in this thesis to illustrate the development of the model and to demonstrate its simplicity and efficiency. The use of the model as part of an integrated framework for building asset management is also highlighted.

The last decade has seen significant developments in highway asset management. A key component to successful asset management is long-term network investment planning. In order to successfully manage a significant quantity of aging roadway infrastructure and growing traffic volume, agencies are faced with challenges in developing reliable long term plans that maximize the network performance through value optimization. Current practice typically involves relatively independent planning for the bridge and pavement networks; with a very slight number of situations allowing for reliable trade-off analysis between the two. While a situation in which the choice to improve two structures rather than one pavement section may yield a greater percentage increase in the bridge network performance, than the opposite choice would for the pavement network - the reliability of this choice being right and at the right time significantly decreases over time. Introduction of mutually inclusive highway asset planning in this research, by integration of the bridges into an equivalent measure of the pavement network results in significant increases in the long-term planning reliability - is proposed. Data from the Ministry of Transportation of Ontario is used to demonstrate how this proposed approach would work. A key point of this Strategic Total Highway Asset Management Integration (STHAMi) approach is the Conceptual Structural Integration Factor (CSIF). Application of CSIF and Bridge Condition Index (BCI) integration into a pavement performance index allows for representation and treatment of bridges as equivalent pavement sections. This allows for a better comparison of the assets over time. Compared to the traditional approach of mutually exclusive network level planning, STHAMi resulted in a higher percentage of network treated per unit of value, coupled with consistently higher annual network performance over the long-term. In addition to significantly higher long-term sub-asset trade-off reliability, STHAMi offers potential for significant increases in organizational efficiency with respect to longterm highway asset planning. Key benefits include introduction of one pavement performance indicator as an all encompassing performance indicator for the complete highway asset, as well as the potential for long-term bridge network level planning execution within a pavement engineering oriented organizational unit. Further STHAMi development is recommended through integration of other network performance measures such as operational and safety indicators.

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File sharing is a significant activity of enterprise computer use. In organizations, files are usually shared using e-mail attachments. However, large media files cannot be shared using e-mail, due to file size limitations. Instead, different external file sharing systems are used to share large files. The use and size of media files will continue to increase, which requires file sharing mechanisms that can handle this. For organizations today, it is difficult to find a file sharing application that fulfills all requirements and needs of the users. Especially for large media rich organizations, where the file sharing scenarios are many and files can be shared internally and externally with dissimilar feature and security requirements. An example of such an organization is Baggie, a fashion company where large media files are shared daily, using various file sharing systems. The inconsistency of what system to use, leads to confusion and frustration among its users. Additionally, their current file sharing systems do not fulfill all of Baggie’s users’ requirements and no system is integrated with their media asset management system. This master thesis aims to solve the challenges of file sharing within large organizations, particularly media rich organizations such as Baggie by centralize file sharing to one application. By performing a theoretical study and user studies, thirteen design guidelines for file sharing applications have been established. The guidelines focuses on usability, security and users’ requirements regarding media file sharing. Based on the studies, a prototype have been designed for a new file sharing application: BShare. BShare aims to replace Baggie’s current file sharing systems and the application fulfills all requirements of Baggie users. The BShare prototype can be seen as a reference design for file sharing applications.

In the water utility sector, traditional asset management focusses on the maintenance and provision of physical assets (infrastructure) that allow water companies to deliver their services, meet their customers’ expectations and achieve their economic objectives. Nevertheless, the serviceability of the sector heavily depends on natural elements (e.g. rain, land). The importance of Natural Capital (i.e. the natural systems and their deriving ecosystem services) has been at the core of policy recommendations which have shaped regulatory changes in the water sector of England and Wales. Water companies are now required to explicitly account for and report their inter-dependencies on the natural environment and adopt systems-oriented approaches in their Asset Management Programmes (AMPs). These reforms will enable the sector to become resilient to the environmental and societal challenges faced at urban and rural contexts. Responding to the regulatory demands, the research introduces a novel and structured approach for integrating natural capital in the asset management portfolio of the water industry. The work is built on a transdisciplinary research framework and demonstrates that a new scale needs to be considered for the implementation of Holistic Asset Management: the water basin or catchment. A Catchment Metabolism modelling schema was created, grounded on the principles of Integrated Catchment Management and ecosystems services. The schema is based on the robust synthesis of concepts, tools and methods from a spectrum of disciplines. These include Industrial Ecology, Water Accounting, Environmental Regional Input-Output Analysis, hydrology, software engineering and functional modelling. Catchment Metabolism introduces a holistic perspective in asset management and expands its scope. The schema enables the conceptualisation, modelling and management of catchments as complex asset systems. It, thus, forms the ground for structured collaboration among experts for integrated water resources planning and decision-making. The schema allows for the design and implementation of catchment-based strategies and the assessment of their environmental performance. An industrial case study for a pilot catchment system (Poole Harbour Catchment) is used to demonstrate the application of the Catchment Metabolism. Alternative strategies for nitrogen pollution mitigation are assessed. The application of winter cover crops across the catchment appears to be the optimum strategy. The case study demonstrates the practical and modular implementation of the schema, reveals its methodological strengths and limitations and evaluates its applicability in the asset management planning and decision-making of the water sector.

Decision Support Tools (DSTs) are commonly utilised within the Asset Management (AM) operations of infrastructure organisations. These manual or computerised tools are used to support decisions about what assets to acquire and how to operate them. Their performance can therefore have significant financial and non-financial implications for a business. Despite their importance, managing the performance of DSTs after implementation has received only limited attention within the literature. The output of this research is a conceptual approach for managing the performance of decision support tools used within an Asset Management context. It encompasses a risk-based DST Performance Management Process and DST Performance Assessment Techniques (the methods for applying the process in an industry setting).The novelty of the approach: (1) Alignment with the fundamental principles of the International Standard for Asset Management, ISO 5500x:2014. Thus, consistency of the management of DSTs with other assets types. (2) A generic process that is tailored to the context of the specific organisation. (3) Consistency with the risk management process (ISO 31000:2009) and meeting the requirements for a quality process defined within the Quality Management Standard (ISO 9000: 2015). (4) A cyclical process design ensuring that the approach, and how the approach is applied within an industry setting, will evolve to reflect the changing environment. A case study and the input of subject matter experts from within National Grid Electricity Transmission was used to both inform and evaluate the conceptual approach design. A semi-structured interview, with a water sector subject matter expert, assesses the transferability of the approach to a wider Asset Management population. The results of the evaluation demonstrate the conceptual approach to be both logical and useable in each context. The future research pathway looks to progress the conceptual approach through to industry adoption.

Deregulated and competitive power market places utilities under high pressure to assure providing power with a satisfactory level of power continuity. This objective entails a high level of reliability which in turn demands a high financial budget for design, operation, and maintenance. Therefore, the need for utilities to balance these factors has been increasing to become the core of a utility's asset management activities. Maintenance is a key aspect of asset management. The main objective of maintenance is to extend the lifetime of equipment and/or reduce the probability of failure. Maintenance activities play an important role in improving system reliability by keeping the condition of a system's equipment within an acceptable level. Generally speaking, technical requirements and budget constraints are the most influential factors in assigning maintenance activities. The most cost-effective maintenance approach is the approach that can sustain a high level of reliability while maintenance cost is minimized. The transformer has a significant role in the power system due to its remarkable effect on the overall level of reliability in addition to its extensive investments in the power grid. Transformer management is comprised of identifying the appropriate type and frequency to maintain the transformer, and the appropriate time to replace the transformer in a cost-effective manner. The essential objective of this thesis is to introduce a novel framework for transformer management. An approach which links maintenance and replacement decisions is presented in this thesis. This approach proposes a methodical decision-making system to determine the optimal time to replace the transformer. Indeed, the proposed approach essentially investigates the cost-effectiveness of replacing the transformer both before and after the lifetime is extended by maintenance. To properly investigate the effect of maintenance, maintenance activities should first be scheduled effectively. Therefore, this approach introduces a maintenance strategy based on reliability-centered maintenance (RCM) concept and genetic algorithm (GA) to optimally schedule maintenance activities. Two replacement studies are conducted: with and without the effect of maintenance. A comparison between replacement studies is discussed in the proposed approach.

Infrastructure deterioration models are an integral part of asset management. Deterioration models are used to predict future asset condition and to estimate funding requirements. The purpose of this research is to develop a framework to create infrastructure deterioration models. An overview of the various types of deterioration models is included, presenting the advantages and disadvantages of each type. Existing deterioration model frameworks are also considered. A deterioration modelling framework is then proposed. The selection of the model type, calibration and validation is presented. The framework is then applied to two case studies. The first case study involves a comparison of three pavement deterioration models, created for the City of Oshawa for use in their asset management system. The second case study involves modelling sewer deterioration. This model has been developed to explore the relationship between age, material and deterioration in trunk sewers.

Infrastructure deterioration models are an integral part of asset management. Deterioration models are used to predict future asset condition and to estimate funding requirements. The purpose of this research is to develop a framework to create infrastructure deterioration models. An overview of the various types of deterioration models is included, presenting the advantages and disadvantages of each type. Existing deterioration model frameworks are also considered. A deterioration modelling framework is then proposed. The selection of the model type, calibration and validation is presented. The framework is then applied to two case studies. The first case study involves a comparison of three pavement deterioration models, created for the City of Oshawa for use in their asset management system. The second case study involves modelling sewer deterioration. This model has been developed to explore the relationship between age, material and deterioration in trunk sewers.

Since there are no limits on the number of non-performing asset management companies imposed by the Financial Firms Merger and Acquisition Act of 2000, total numbers of such companies has been increasing in resent years. Under the circumstances of keen competition and shrinking market, non-performing asset management companies are facing enormous challenges. For this study, experts were interviewed and literatures were reviewed, resulting in a key factor structure of Taiwan¡¦s non-performing asset management companies. Quantified data are gathered and analyzed via questionnaires and AHP methods, and the most important key factors applicable for Taiwan¡¦s non-performing asset management companies are derived. To the large-scale AMCs, the most important key factors are: impact from the overall economic or real estate market condition, assisting corporations in restructuring, employees¡¦ past job experiences, and the accurate estimation for investment return. To the medium-scale AMCs, the most important key factors are: employees¡¦ past job experiences, and bidding in conjunction with large-scale AMCs or foreign capital. To the small-scale AMCs, the most important key factor is the overall economic or real estate market condition.