Case Studies Examples of Leveraging WERF’s Asset Management Research in Obtaining ISO 55000 Certification

2015 ◽  
Vol 2015 (16) ◽  
pp. 487-494
Author(s):  
Linda Blankenship ◽  
Walter Graf
Author(s):  
Rebecca PRICE ◽  
Christine DE LILLE ◽  
Cara WRIGLEY ◽  
Kees DORST

There is an increasing need for organizations to adapt to rapid changes in society. This need requires organizations’ and the leader within them, to explore, recognize, build and exploit new capabilities. Researching such capabilities has drawn attention from the design management research community in recent years. Dominantly, research contributions have focused on perspectives of innovation and the strategic application of design with the researcher distanced from context. Descriptive and evaluative case studies of past organizational leadership have been vital, by building momentum for the design movement. However, there is a need now to progress toward prescriptive and explorative research perspectives that embrace context through practice and the simultaneous research of design.  Therefore, the aim of this track is to lead and progress discussion on research methodologies that support the research community in developing explorative and prescriptive research methodologies for context-orientated organizational research. This track brings together a group of diverse international researchers and practitioners to fuel discussion on design approaches and subsequent outcomes of prescriptive and explorative research methodologies.


2021 ◽  
Vol 13 (15) ◽  
pp. 8224
Author(s):  
Long Chen ◽  
Xiang Xie ◽  
Qiuchen Lu ◽  
Ajith Kumar Parlikad ◽  
Michael Pitt ◽  
...  

Various maturity models have been developed for understanding the diffusion and implementation of new technologies/approaches. However, we find that existing maturity models fail to understand the implementation of emerging digital twin technique comprehensively and quantitatively. This research aims to develop an innovative maturity model for measuring digital twin maturity for asset management. This model is established based on Gemini Principles to form a systematic view of digital twin development and implementation. Within this maturity model, three main dimensions consisting of nine sub-dimensions have been defined firstly, which were further articulated by 27 rubrics. Then, a questionnaire survey with 40 experts involved is designed and conducted to examine these rubrics. This model is finally illustrated and validated by two case studies in Shanghai and Cambridge. The results show that the digital twin maturity model is effective to qualitatively evaluate and compare the maturity of digital twin implementation at the project level. It can also initiate the roadmap for improving the performance of digital twin supported asset management.


2016 ◽  
Vol 1 (2) ◽  
pp. 191-204 ◽  
Author(s):  
Abrar Ali Saiyed ◽  
Anita Basalingappa ◽  
Piyush Kumar Sinha

Long heritage management related activities have been studied by sociologist, heritage management experts, anthropologists and architects and artists. Researchers felt importance of using management theories in heritage management research domain. This paper tries to focus on this call for research. It aims to study the value network in heritage walk organisations for creating shared value - a form of value that Porter and Kramer describe, in placing social and community needs before profit. It studies value network in three heritage walks organized by three organisations in Ahmedabad city in western part of India. It covers three cases studies of these walks that cover architecture, communities, craft, food and other elements of living and non-living heritage. This study is exploratory in nature. It shows the impact of these walks on various stakeholders under nine dimensions of value network framework.


2018 ◽  
Vol 29 (16) ◽  
pp. 1332-1342
Author(s):  
Khaled El-Akruti ◽  
Senevi Kiridena ◽  
Richard Dwight

2013 ◽  
Vol 21 (2) ◽  
pp. 176-197 ◽  
Author(s):  
Barry Keating ◽  
Maryann Keating

PurposePublic private partnerships (PPPs) centralize decision making into a hybrid type of firm, consisting of a government entity with a private firm, that is either a profit‐seeking or non‐profit entity, that initiates, constructs, maintains, or provides a service. The PPP model recognizes that both the public and the private sectors have certain comparative advantages in the performance of specific tasks. PPPs, grounded in cost/benefit analysis, have been used in Australia for decades and are presently being introduced in the USA as a form of innovate contracting. This paper aims to evaluate PPPs as a potentially transferable model for the delivery of public services. PPP firms are evaluated in terms of capital asset management, productive and allocative efficiency, transfer of risk between the public and private sectors, rights to the residual, and the public interest. A case study comparison of Fremantle Ports (Australia) and the Indiana Toll Road (USA) is employed to demonstrate PPP design and function.Design/methodology/approachA description and evaluation of public private partnerships (PPP) is presented and two original and primary case studies are reviewed.FindingsA PPP functioning as a monopoly provider of a common pool public asset approximates economic efficiency when user fees cover virtually full cost. Identifying optimal output and quality assessment is more challenging in the case of social goods in which the public goal is subsidy minimization and clients cannot assess quality. Best practices are helpful; they guarantee the PPP process, but not the outcome. All PPPs, in whatever country or industry, are vulnerable to bureaucratic expansion whenever they are given access to subsidized loans underwritten by taxpayers.Originality/valueThe two case studies in this paper are 100 percent original; they were examined in person by the authors, and the managers of the two entities were interviewed in Indiana (USA) and Fremantle, Western Australia.


2020 ◽  
Vol 12 (6) ◽  
pp. 2544
Author(s):  
Alice Consilvio ◽  
José Solís-Hernández ◽  
Noemi Jiménez-Redondo ◽  
Paolo Sanetti ◽  
Federico Papa ◽  
...  

The objective of this study is to show the applicability of machine learning and simulative approaches to the development of decision support systems for railway asset management. These techniques are applied within the generic framework developed and tested within the In2Smart project. The framework is composed by different building blocks, in order to show the complete process from data collection and knowledge extraction to the real-world decisions. The application of the framework to two different real-world case studies is described: the first case study deals with strategic earthworks asset management, while the second case study considers the tactical and operational planning of track circuits’ maintenance. Although different methodologies are applied and different planning levels are considered, both the case studies follow the same general framework, demonstrating the generality of the approach. The potentiality of combining machine learning techniques with simulative approaches to replicate real processes is shown, evaluating the key performance indicators employed within the considered asset management process. Finally, the results of the validation are reported as well as the developed human–machine interfaces for output visualization.


2018 ◽  
Vol 13 (4) ◽  
pp. 794-802 ◽  
Author(s):  
Nathalie Hernández ◽  
Nicolas Caradot ◽  
Hauke Sonnenberg ◽  
Pascale Rouault ◽  
Andrés Torres

Abstract Several deterioration models have been used to predict the structural condition of sewer pipes, and some have been applied in different cities in the world. However, each one of these models has not been proved simultaneously for case studies with different characteristics (topographic conditions, soil uses, demographic growth, utilities' service operation and city's dynamic) and the use of their predictions have not been analyzed to support different management objectives. Therefore, the objective of this work was to assess the prediction results of two models (based on Logistic Regression and Random Forest (RF) methods), which previously have been identified as successful in other experiences, for two different case studies (a city in Colombia and a city in Germany). The prediction assessment was carried out by three analysis techniques (Positive Likelihood Rate (PLR) index, performance curve and deviation analysis). According to the results, we found that: (i) the model based on RF was the one that could be useful as a support tool in the sewer asset management of both case studies; (ii) for the German city, the prediction results could be useful for designing strategic investment plans in order to know the number of pipes that the utility should rehabilitate each year; and (iii) for the Colombian city, the predictions are appropriate to make decisions concerning inspection or rehabilitation plans, since the probability of identifying the sewer's assets in critical condition (C4) correctly (according to the analysis of the sample of the 10% of sewers with the highest probability to be in this condition) is around 63% and could be 83% if the stakeholders also consider in these plans the misclassification of those pipes in a bad structural condition (C3).


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