Construction of an ontological model of the life cycle of electrotechnical equipment

Петроченков, А. Б.; Bochkarev, S. V.; Ovsyannikov, M. V.; Bukhanov, S. A.

doi:10.3103/s1068371215060115

Cited by 18 publications

(4 citation statements)

References 1 publication

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“… An unified data modeling method can be used to construct the multi-granularity and multi-level data models (Petrochenkov et al, 2015), and to integrate the data of various lifecycle stages. The concept of the meta-model must be developed and integrated to build the unified data models.…”

Section: Data Integration and Aggregationmentioning

confidence: 99%

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions

Ren

Zhang

Liu

et al. 2019

Journal of Cleaner Production

376

189

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Section: Data Integration and Aggregationmentioning

confidence: 99%

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions

Ren

Zhang

Liu

et al. 2019

Journal of Cleaner Production

376

189

View full text Add to dashboard Cite

“…VI. CONCLUSION At present, for all the importance of system performance, its quality often depends on how simple and understandable its structure is [21].…”

Section: Results and Recommendationsmentioning

confidence: 99%

Regarding information system for technological docflow: global challenge within the framework of the sixth technological basis

Петроченков¹

2019

Proceedings of the 2nd International Scientific Conference on New Industrialization: Global, National, Regional Dimension (SICN

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The information system for technological docflow for enterprises has been considered. The analysis of the route of documents participating in bussiness, organizational and other activities was carried out and on the basis of analysis a classification of these documents was developed and a list of their main types was developed. The article is devoted to the issues of effective change management at enterprise. Within the framework of the sixth technological basis, general high-speed information networks will bear the dominant value. The development of information systems depends on benchmarking and adjustment of the required key technical and socioeconomic indicators of the desired model of production and economic activity and the current state of affairs. The project is also aimed at implementation of a new Master's program "Conceptual design and engineering to improve energy efficiency".

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“…It is essential to perform the data integration operation. A unified data modeling method is used to construct the multi-granularity and multi-level data models, and to integrate the data of various lifecycle stages (Alemanni et al, 2011;Petrochenkov et al, 2015;Zhang, 2011). The concept of meta-model is introduced to build the unified data model.…”

Section: A C C E P T E Dmentioning

confidence: 99%

A framework for Big Data driven product lifecycle management

Zhang

Ren

Liu

et al. 2017

Journal of Cleaner Production

199

100

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Optimization of the process of product lifecycle management is an increasingly important objective for manufacturing enterprises to improve their sustainable competitive advantage. Originally, this approach was developed to integrate the business processes of an organization and more effectively manage and utilize the data generated during lifecycle studies. With emerging technologies, product embedded information devices such as radio frequency identification tags and smart sensors are widely used to improve the efficiency of enterprises' routine management on an operational level. Manufacturing enterprises need a more advanced analysis approach to develop a solution on a strategic level from using such lifecycle Big Data. However, the application of Big Data in lifecycle faces several challenges, such as the lack of reliable data and valuable knowledge that can be employed to support the optimized decision-making of product lifecycle management. In this paper, a framework for Big Data driven product lifecycle management was proposed to address these challenges. Within the proposed framework, the availability and accessibility of data and knowledge related to lifecycle can be achieved. A case study was presented to demonstrate the proof-of-concept of the proposed framework. The results showed that the proposed framework was feasible to be adopted in industry, and can provide an overall solution for optimizing the decision-making processes in different phases of the whole lifecycle. The key findings and insights from the case study were summarized as managerial implications, which can guide manufacturers to ensure improvements in energy saving and fault diagnosis related decisions in the whole lifecycle.

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Construction of an ontological model of the life cycle of electrotechnical equipment

Cited by 18 publications

References 1 publication

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions

Regarding information system for technological docflow: global challenge within the framework of the sixth technological basis

A framework for Big Data driven product lifecycle management

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