Asset lifecycle management
168829812
Smart Asset Management using Online Monitoring
Distribution network operators assess the condition and life expectancy of large capital assets, including circuit breakers (CBs) which are critical ageing assets. This study presents a scheme to monitor substations in South Scotland and North Wales and describes how online monitoring and analysis of protection operations is used to quickly identify immediate and evolving problems. This allows timely repairs and avoids possible CB failures with inherent mechanical damage or more widespread faults. The study includes several case studies using examples showing a range of asset fault types.
Denis A Courtney Tim Littler Jim Livie
56454689
Evaluating Information System Integration approaches for fixed asset management framework in Tanzania.
Abstract Information systems are developed based on different requirements and different technologies. Integration of these systems is of vital importance as they cannot work in isolation, they need to share and exchange data with other information systems. The Information Systems handle data of different types and formats' finding a way to make them communicate is important as they need to exchange data during transactions, communication and different aspects which may require their interactions. In Tanzanian Local Government Authorities (LGAs) fixed asset data are not centralized, individual Local Government Authority stores their own data in isolation yet accountability is required through the provision of centralized storage for easy data access and easier data integration with other Information Systems in order to enhance fixed asset accountability. The study was carried out through reviewing of literature on the existing Information System integration approaches in order to identify and propose the best approach to be used in fixed asset management systems in LGA's in Tanzania. The different approaches which are used for systems integration such as Service Oriented Architecture (SOA) Common Object Request Broker (CORBA) Common Object Model (COM) and eXtensible Markup Language (XML) were evaluated under the factors considered at the LGA. The XML was preferred over SOA, CORBA and COM because of some challenges in governance, data security, availability of expertise for support, maintenance, implementation cost, performance, compliance with government changing policies and service reliability. The proposed approach integrates data for all the Local Government Authorities at a centralized location and middleware transforms the centralized data into XML so it can easily be used by other Information Systems.
Theophil Benedict Assey Khamisi Kalegele Bukaza Loth Chachage
59442803
An approach to value based infrastructure asset management
Effective management of civil infrastructure assets requires intricate considerations with regard to safety, serviceability, reputation and cost. Additionally, infrastructure assets have different
ParlikadAjith Kumar
157371313
Civic Engagement through Social Media: Strategic Stakeholder Management by High Asset Foundations
Civic engagement through social media is a strategy employed by nonprofits typically using one way targeted information dissemination to stakeholder groups. Improving the quality of communities and ameliorating social problems sustain nonprofit foundation missions, suggesting that two way dialogic communication inspiring action is preferable for effective civic engagement over one way communication. Using Facebook content analyses for three types of foundations community, corporate, and independent grant making foundations the authors employ a Relationship Management Theory RMT approach to assess effective civic engagement. RMT emphasizes the organization's dynamic interactions with stakeholder publics Ledingham, 2003. The authors code posts according to whether they ask stakeholders to act e.g. asking users to respond to a question or share information. Using a quantitative modeling approach, they determine whether posts requesting stakeholder action are more likely to result in stakeholder engagement with posts. They examine type of post status updates, external links, and multimedia to determine whether type of post is also related to civic engagement. Facebook data for 300 randomly sampled high asset foundations were accessed using a social media analytics program. Overall, the authors find that private and corporate foundations are more likely to use social media on average. However, community foundations are more likely to use social media as a call to action. This study informs foundations and the larger nonprofit community on how to apply such techniques to their own organizations for continuous improvement in supporting their missions and civic engagement goals. This study is also germane to other types of nonprofit and public organizations seeking to increase stakeholder engagement with social media platforms.
Sarah P Maxwell Julia L Carboni
16463593
The Impact of Maintenance 4.0 and Big Data Analytics within Strategic Asset Management
The latest industrial revolution is manifested by smart and networking equipment. Realizing the full value of these machineries, and other business assets, has become increasingly important. Strate
Diego Pascual Galar Mirka Kans
18924743
Studies of Sensor Data Interpretation for Asset Management of the Built Environment
Sensing in the built environment has the potential to reduce asset management expenditure and contribute to extending useful service life. In the built environment, measurements are usually performed indirectly; effects are measured remote from their causes. Modelling approximations from many sources, such as boundary conditions, geometrical simplifications and numerical assumptions result in important systematic uncertainties that modify correlation values between measurement points. In addition, conservative behavior models that were employed justifiably during the design stage, prior to construction are generally inadequate when explaining measurements of real behavior. This paper summarizes the special context of sensor data interpretation for asset management in the built environment. Nearly twenty years of research results from several doctoral thesis and fourteen full scale case studies in four countries are summarized. Originally inspired from research into model based diagnosis, work on multiple model identification evolved into a methodology for probabilistic model falsification. Throughout the research, parallel studies developed strategies for measurement system design. Recent comparisons with Bayesian model updating have shown that while traditional applications Bayesian methods are precise and accurate when all is known, they are not robust in the presence of approximate models. Finally, details of the full scale case studies that have been used to develop model falsification are briefly described. The model falsification strategy for data interpretation provides engineers with an easy to understand tool that is compatible with the context of the built environment.
Front. Built Environ.
Ian F C Smith
106422580
Evaluating building energy performance a lifecycle risk management methodology
There is widespread acceptance of the need to reduce energy consumption within the built environment. Despite this, there are often large discrepancies between the energy performance aspiration and operational reality of modern buildings. The application of existing mitigation measures appears to be piecemeal and lacks a whole system approach to the problem. This Engineering Doctorate aims to identify common reasons for performance discrepancies and develop a methodology for risk mitigation. Existing literature was reviewed in detail to identify individual factors contributing to the risk of a building failing to meet performance aspirations. Risk factors thus identified were assembled into a taxonomy that forms the basis of a methodology for identifying and evaluating performance risk. A detailed case study was used to investigate performance at whole building and sub system levels. A probabilistic approach to estimating system energy consumption was also developed to provide a simple and workable improvement to industry best practice. Analysis of monitoring data revealed that, even after accounting for the absence of unregulated loads in the design estimates, annual operational energy consumption was over twice the design figure. A significant part of this discrepancy was due to the space heating sub system, which used more than four times its estimated energy consumption, and the domestic hot water sub system, which used more than twice. These discrepancies were the result of whole system lifecycle risk factors ranging from design decisions and construction project management to occupant behaviour and staff training. Application of the probabilistic technique to the estimate of domestic hot water consumption revealed that the discrepancies observed could be predicted given the uncertainties in the design assumptions. The risk taxonomy was used to identify factors present in the results of the qualitative case study evaluation. This work has built on practical building evaluation techniques to develop a new way of evaluating both the uncertainty in energy performance estimates and the presence of lifecycle performance risks. These techniques form a risk management methodology that can be applied usefully throughout the project lifecycle.
Nicholas Doylend
3693201
Acceptance of Hibah as an Alternative Mechanism in Muslims Asset Management
This study is aimed to identify the acceptance of hibah by beneficiaries based on cases registered in Melaka. Using secondary data collected from the Melaka Syariah Court and Amanah Raya Berhad Melaka, a number of hibah cases were identified from 2013 2015 and highlighted for further discussion in the paper. Interviews, telephone and email correspondences were conducted to further understand the issues concerning hibah cases and their reasoning. The findings indicated that the highest number of registered on hibah cases was recorded in 2015, increasing from 2013. The data result shows that there are more than 20 cases recorded in Melaka except only 12 cases in 2013. Due to increasing number of cases regarding hibah, it shows that citizen of Melaka is still low in understanding the concept and implementation of hibah. Therefore, it is a need to have a standard guideline regarding hibah to avoid any dispute about this matter in the future. Besides that, the dissemination of knowledge about hibah should be done in order to increase the awareness about the acceptable procedure of hibah because it is considered as the best alternative of asset management and to avoid unclaimed Muslim asset.
Khairiah Ahmad Rozaiha Ab Majid Zaharah Abdullah Siti Fatimah Noor Minhad Ismail Shafinar
13855506
Optimal Asset Management Contracts With Hidden Savings
We study the role of hidden savings in optimal contracts for delegated asset management. The principal uses the agent's access to capital to manipulate his precautionary motive and reduce the cost of providing incentives. After bad outcomes, the agent's consumption is somewhat insured, and he is punished instead with less access to capital and lower growth. As a result, in addition to an equity constraint, the optimal contract requires a leverage constraint to be implemented. Hidden investment limits the principal's ability to provide incentives, but doesn't change the contract's qualitative features. We provide a sufficient analytical condition for the validity of the first order approach: if the agent's precautionary motive falls after bad outcomes, the contract is globally incentive compatible. This condition holds in the optimal contract and in a broader class of contracts.
Sebastian Di Tella Yuliy Sannikov
43879129
Combining Deep Learning and Survival Analysis for Asset Health Management
We propose a method to integrate feature extraction and prediction as a single optimization task by stacking a three layer model as a deep learning structure. The first layer of the deep structure is a Long Short Term Memory (LSTM) model which deals with the sequential input data from a group of assets. The output of the LSTM model is followed by meanpooling, and the result is fed to the second layer. The second layer is a neural network layer, which further learns the feature representation. The output of the second layer is connected to a survival model as the third layer for predicting asset health condition. The parameters of the three layer model are optimized together via stochastic gradient decent. The proposed method was tested on a small dataset collected from a fleet of mining haul trucks. The model resulted in the "individualized" failure probability representation for assessing the health condition of each individual asset, which well separates the in service and failed trucks. The proposed method was also tested on a large open source hard drive dataset, and it showed promising result.
Linxia Liao Hyung-Il Ahn