Industry 4.0 Contribution to Asset Management in the Electrical Industry

Biard, Gabrielle; Abdul-Nour, Georges

doi:10.3390/su131810369

Cited by 15 publications

(8 citation statements)

References 58 publications

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“…Similarly, Biard and Nour [17] explained how industry 4.0 could enhance the APM of electrical networks from a worldwide viewpoint. After reviewing the literature, the authors stated that once appropriately managed and structured, big data are the fundamental implementation of technologies and state-of-the-art tools in electrical networks.…”

Section: Literature Reviewmentioning

confidence: 99%

The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management

Viet

Kravets

2022

Energies

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The development of emerging technologies not only has recently affected current industrial production but also has generated promising manufacturing opportunities that impact significantly on social and economic factors. Exploring upcoming renovation tendencies of technologies prematurely is essential for governments, research and development institutes, and industrial companies in managing strategies to achieve dominant advantages in business competitiveness. Additionally, the prospective changes, the scientific research directions, and the focus of technologies are crucial factors in predicting promising technologies. On the other hand, Industry 4.0 revolutionizes standards and models by accompanying significant technology developments in numerous sectors, including the sector of Smart energy. Moreover, asset performance management is always a prominent topic that has attained prevalence over the last decade because numerous challenges force all industrial companies to optimize their asset usability. However, to the best of our knowledge, no study reported an analysis of technology trends of asset performance management in the Smart energy sector by using proper data mining methods. Hence, this paper aims to fill in this gap and provide an analysis of technology trends of asset performance management in the Smart energy sector by structuring and exploring research subjects, considering problems, and solving methods with numerous experiments on scientific papers and patent data.

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Section: Literature Reviewmentioning

confidence: 99%

The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management

Viet

Kravets

2022

Energies

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“…Although there are several publications on the topic of I4.0 and maintenance, the combination of these topics is worth further investigation. For example, a recent study addresses how I4.0 can improve the asset management of electric grids (Biard and Nour, 2021), highlighting the need to combine these two research areas. Furthermore, Tortorella et al (2022) provide empirical evidence of the impact of I4.0 technologies on the relationship between total productive maintenance (TPM) practices and maintenance performance, which further substantiates the importance of this topic.…”

Section: Introductionmentioning

confidence: 99%

An Exploration of Organisational Readiness for Industry 4.0: A Predictive Maintenance Perspective

Maletič,

Maletič

2024

QIP Journal

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Purpose: The aim of this paper is to examine the extent to which selected Slovenian companies are prepared to integrate the complex requirements of Industry 4.0 (I4.0) into their asset management practices, using the specific example of predictive maintenance. Methodology/Approach: A research study was conducted on a sample of Slovenian manufacturing companies. Data was collected using a structured questionnaire to investigate the extent to which companies are engaged with new technologies and their current and future focus on their use in predictive maintenance. Findings: The analysis of the empirical data shows that companies are aware of the benefits that can be achieved with I4.0 solutions. The results also show that the companies surveyed lack a clear vision and implementation roadmap for I4.0. The results also show that the majority of companies in the sample are still at an early stage of predictive maintenance strategy maturity. Research Limitation/implication: The sample of responding companies is limited to the Slovenian manufacturing industry, and the subjective information comes from only one representative person in each company. Originality/Value of paper: The paper is one of the first studies to highlight digitalisation and predictive maintenance in the context of I4.0.

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“…Asset management activities that are done competently will provide asset-intensive organizations with multifold advantages such as reduced operational costs, increased revenues, increased efficiency, and the ability to provide clients with a high level of service. Asset management is outlined by the asset life cycle which describes the key stages that asset managers need to pay attention to when managing their assets [2]. Perhaps, the most important stage of the asset life cycle is the operation and management (O&M) stage as this stage constitutes most of the ages of the assets [3].…”

Section: Introductionmentioning

confidence: 99%

A review on the GIS usage in spatio-temporal risk assessment in asset management

Syafiq,

Azri

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Risk assessment for asset management is a process to analyse the potential risk that could affect the efficiency of operating assets. An effective risk assessment strategy depends on high-quality data and effective data analysis. To do so, risk assessment should take into consideration the spatial and temporal aspects of risks of physical assets in asset management for a data-driven decision-making. Failure to incorporate the spatial and temporal aspects in risk, when the risk possess spatio-temporal correlation, could lead to a defective estimation of assets risks. GIS can be used to analyse multidimensional information which includes 3D GIS, and spatio-temporal data (2D+t and 3D+t). Due to its superiority in handling multidimensional data, GIS is often a preferable tool to collect, manage, manipulate, and visualize spatio-temporal data to allow an accurate and informed analysis. The aim of this study is to uncover the use of GIS for risk assessment in asset management when spatial and temporal data are concerned. This study conduct a thorough review of previous research to look into the current development of asset management that utilizes a spatio-temporal approach for data collection, analysis, and 3D visualization for risk assessment. At the end of this study, we found that physical assets are affected by risk that possess spatio-temporal correlation. Several GIS techniques for data collection, analysis and visualization are found to provide a more effective analysis for assessing spatio-temporal risks. This paper concludes by providing a workflow that can be used by asset managers to assess risk spatio-temporally based on the findings of this study.

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Industry 4.0 Contribution to Asset Management in the Electrical Industry

Cited by 15 publications

References 58 publications

The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management

The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management

An Exploration of Organisational Readiness for Industry 4.0: A Predictive Maintenance Perspective

A review on the GIS usage in spatio-temporal risk assessment in asset management

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