New technologies for wooden poles network asset management

2005 ◽  
Author(s):  
J.-L. Sandoz ◽  
Y. Benoit
Keyword(s):  
Asset Management ◽  
New Technologies

scholarly journals Gemini Principles-Based Digital Twin Maturity Model for Asset Management

2021 ◽  
Vol 13 (15) ◽  
pp. 8224
Author(s):  
Long Chen ◽  
Xiang Xie ◽  
Qiuchen Lu ◽  
Ajith Kumar Parlikad ◽  
Michael Pitt ◽  
...  
Keyword(s):  
Case Studies ◽  
Asset Management ◽  
Questionnaire Survey ◽  
New Technologies ◽  
Maturity Model ◽  
Maturity Models ◽  
Digital Twin ◽  
Project Level

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.

scholarly journals Graceful extensibility in asset management: extending the capacity to adapt in managing cyber-physical railway systems

2021 ◽  
Author(s):  
Jan-jaap Moerman ◽  
Jan Maarten Schraagen ◽  
Jan Braaksma ◽  
Leo van Dongen
Keyword(s):  
Asset Management ◽  
Adaptive Systems ◽  
New Technologies ◽  
Autonomous Driving ◽  
Cyber Physical Systems ◽  
Transportation Systems ◽  
Rolling Stock ◽  
Railway Transportation ◽  
Physical Systems ◽  
Railway Systems

AbstractGraceful extensibility has been recently introduced and can be defined as the ability of a system to extend its capacity to adapt when surprise events challenge its boundaries. It provides basic rules that govern adaptive systems. Railway transportation systems can be considered cyber-physical systems that comprise interacting digital, analog, physical, and human components engineered for safe and reliable railway transport. This enables autonomous driving, new functionalities to achieve higher capacity, greater safety, and real-time health monitoring. New rolling stock introductions require continuous adaptations to meet the challenges of these complex railway systems as an introduction takes several years to complete and deals with changing stakeholder demands, new technologies, and technical constraints which cannot be fully predicted in advance. To sustain adaptability when introducing new rolling stock, the theory of graceful extensibility might be valuable but needs further empirical testing to be useful in the field. This study contributes by assessing the proto-theorems of graceful extensibility in a case study in the railway industry by means of adopting pattern-matching analysis. The results of this study indicate that the majority of theoretical patterns postulated by the theory are corroborated by the data. Guidelines are proposed for further operationalization of the theory in the field. Furthermore, case results indicate the need to adopt management approaches that accept indeterminism as a complement to the prevailing deterministic perspective, to sustain adaptability and deal effectively with surprise events. As such, this study may serve other critical asset introductions dealing with cyber-physical systems in their push for sustained adaptability.

Assessing HRO Principles for Reliable Performance in Asset-Intensive Organizations

2019 ◽  
pp. 160-181 ◽  
Author(s):  
Jan-jaap Moerman ◽  
Jan Braaksma ◽  
Leo A. M. van Dongen
Keyword(s):  
Organizational Performance ◽  
Asset Management ◽  
Industrial Revolution ◽  
New Technologies ◽  
High Reliability ◽  
Management Measures ◽  
Reliable Performance ◽  
Tightly Coupled ◽  
Physical Assets ◽  
Physical Asset

Asset-intensive organizations rely on physical assets that are expensive, complex, and have a significant impact on organizational performance. The management of such assets is essential when seeking for reliable performance in a world of increasing uncertainties. The observation that asset-intensive organizations deal with increasingly complex and tightly coupled systems and often operate in highly demanding environments may indicate that they should adopt practices from high reliability organizations (HRO) to ensure and maintain reliable performance in the fourth industrial revolution. This chapter operationalizes the HRO concept in the field of physical asset management, measures to what extent the underlying principles are recognized, and explores the relationship between the HRO principles and asset performance using a descriptive survey. Results indicated that the HRO principles are recognized and may, therefore, serve as an instrument for reliable performance when adopting new technologies. A positive relation between asset performance and the five HRO principles was identified.

A Dictionary of Construction, Surveying and Civil Engineering

2020 ◽  
Keyword(s):  
Asset Management ◽  
Engineering Students ◽  
New Technologies ◽  
Civil Engineering ◽  
Legal Aspects ◽  
Engineering Management ◽  
Value Engineering ◽  
Hydraulic Failure ◽  
Wide Range ◽  
Management Techniques

Over 8,000 entries This is the most up-to-date dictionary of its kind, covering the key areas of construction and civil engineering. This new edition has been fully updated to span the subjects of sustainability, new technologies, disaster management, and building software, and provides authoritative and reliable definitions to a wide range of terms. More than 600 new entries have been added to include terms such as asset management, hydraulic failure, sustainable development, and value engineering, providing broad coverage of construction and civil engineering, management techniques and processes, as well as legal aspects such as contracts and procurement. Detailed illustrations complement the text, and a further reading section is included to guide the reader towards suggested materials. Written by a team of more than 130 experts from around the world, this dictionary is an authoritative resource for engineering students, construction professionals, and surveyors.

scholarly journals Next Generation Data Infrastructures: Towards an Extendable Model of the Asset Management Data Infrastructure as Complex Adaptive System

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Paul Brous ◽  
Marijn Janssen ◽  
Paulien Herder
Keyword(s):  
Complex Adaptive Systems ◽  
Asset Management ◽  
Adaptive Systems ◽  
New Technologies ◽  
Complex Adaptive System ◽  
Emergent Behavior ◽  
Data Infrastructure ◽  
Management Domain ◽  
Complex Adaptive ◽  
Data Infrastructures

Organizations are increasingly looking to adopt the Internet of Things (IoT) to collect the data required for data-driven decision-making. IoT might yield many benefits for asset management organizations engaged in infrastructure asset management, yet not all organizations are equipped to handle this data. IoT data is collected, stored, and analyzed within data infrastructures and there are many changes over time, resulting in the evolution of the data infrastructure and the need to view data infrastructures as complex adaptive systems (CAS). Such data infrastructures represent information about physical reality, in this case about the underlying physical infrastructure. Physical infrastructures are often described and analyzed in literature as CASs, but their underlying data infrastructures are not yet systematically analyzed, whereas they can also be viewed as CAS. Current asset management data models tend to view the system from a static perspective, posing constraints on the extensibility of the system, and making it difficult to adopt new data sources such as IoT. The objective of the research is therefore to develop an extensible model of asset management data infrastructures which helps organizations implement data infrastructures which are capable of evolution and aids the successful adoption of IoT. Systematic literature review and an IoT case study in the infrastructure management domain are used as research methods. By adopting a CAS lens in the design, the resulting data infrastructure is extendable to deal with evolution of asset management data infrastructures in the face of new technologies and new requirements and to steadily exhibit new forms of emergent behavior. This paper concludes that asset management data infrastructures are inherently multilevel, consisting of subsystems, links, and nodes, all of which are interdependent in several ways.

scholarly journals Engaging stakeholders for improved IAM implementation

2020 ◽  
Vol 15 (2) ◽  
pp. 350-355
Author(s):  
A. Malm ◽  
G.-M. Löfdahl
Keyword(s):  
Public Sector ◽  
Asset Management ◽  
New Technologies ◽  
Research Programme ◽  
Economic Resources ◽  
Water Infrastructure ◽  
The Public ◽  
Qualified Personnel ◽  
Applicable Knowledge ◽  
Infrastructure Asset Management

Abstract There are major challenges for water infrastructure asset management in the public sector of Sweden. Necessary intensity of reinvestments is too low and simultaneously stakeholders find it difficult to source qualified personnel. By implementing comprehensive methods such as Infrastructure Asset Management (IAM) processes, efficiency can be improved and to some extent can compensate for lack of human and economic resources. The Mistra InfraMaint research programme is building and disseminating knowledge of sustainable, effective and efficient maintenance of infrastructure. Involving stakeholders is found to be effective to transfer the research into practice. The cooperation between researchers and stakeholders has already started the application phase, giving the opportunity to meet, get to know each other and discuss the importance and priorities. For further in depth involvement of stakeholders, six of the PhD students are industrial PhD students, situated within the municipal companies' organisations. Also, the competence building parts of the programme will be done in co-creation with the stakeholders. In the coming years, Mistra InfraMaint will contribute with innovative and applicable knowledge, and increase utilization of new technologies, approaches and methods. Dissemination of the results will lead to increased competence and contribute to better IAM within relevant organisations.

High Resolution Satellite Imagery or Ortho-Photography? A Wealth of Experience From Pipeline Integrity Mapping and Oil/Gas Asset Management

2002 ◽  
Author(s):  
Steve Adam
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Asset Management ◽  
New Technologies ◽  
Spatial Information ◽  
Spatial Information Systems ◽  
High Resolution Satellite Imagery ◽  
To Come ◽  
Air Photo ◽  
Oil Gas

Since January 2000, 1m resolution satellite imagery has been commercially available from the Ikonos satellite. Recently, the Quickbird satellite also became operational acquiring images with running 70cm resolution. We commonly assume that new technologies, such as Ikonos and Quickbird, will displace traditional methods. This may be the case in the far distant future, but at the present time (and for many years to come) there is plenty of room for both high resolution satellite imagery and traditional aerial photography. In fact, air photo use is steadily increasing as spatial information systems gain popularity in industry and government.

New Technologies for Asset Management Applied to Oil Fields

2013 ◽  
Vol 746 ◽  
pp. 581-587
Author(s):  
Eduardo Cardoso Moraes ◽  
Ana Paula Tanajura ◽  
Herman Augusto Lepikson
Keyword(s):  
Asset Management ◽  
New Technologies ◽  
Oil Field ◽  
Oil Fields ◽  
Integrated Analysis ◽  
Rational Decision ◽  
Level Data ◽  
Corporate Goals ◽  
Comprehensive Manner ◽  
Oilfield Operations

Asset management is an integrated process that aims to achieve the alignment of corporate goals, information systems capable of making rigorous and consistent spending decisions based on asset-level data and cross-functional expertise between the various business process skills. In oil fields, managing the asset requires the decision-making from an integrated analysis of data that enables the understanding of interventions in the field in a comprehensive manner. For this, we propose an approach that by building a database of technical and economic variables, procedures and engineering methods to structure the information, and alignment with organizational strategy, more rational decision and better performances will be possible. These decisions can affect daily oilfield operations, direct investments or even disable an oil field facility.

scholarly journals Digitalizing Predictive Maintenance to Improve Asset Management: Are We Ready?

2020 ◽  
Author(s):  
Damjan Maletić ◽  
Nuno Marques de Almeida ◽  
Dragan Komljenovic ◽  
Viktor Lovrenčić ◽  
Matjaž Maletič
Keyword(s):  
Asset Management ◽  
Industry 4.0 ◽  
New Technologies ◽  
Management Practice ◽  
Future Orientation ◽  
Predictive Maintenance ◽  
Management Approach ◽  
Maintenance Strategy ◽  
Early Stages ◽  
Maintenance Activities

The purpose of this paper is to explore the readiness of selected Slovenian companies to assimilate the complexities of Industry 4.0 requirements into their asset management practice, namely for the particular case of the predictive maintenance function. The survey was conducted to capture the extent to which companies address new technologies as well as to identify the current and future orientation towards their adoption in predictive maintenance activities. The results suggest that companies are aware of the benefits that can be attained with Industry 4.0 solutions. However, they still lack of clear vison and an implementation roadmap such solutions. Moreover, the majority of the companies in the sample are still in the early stages of predictive maintenance strategy maturity. Taking a wider perspective one can highlight the need to adopt organization-wide asset management approach to be able to effectively manage the transition towards digitalization by means of creating higher value for the organization.

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