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Decisional DNA (DDNA) Based Machine Monitoring and Total Productive Maintenance in Industry 4.0 Framework
Abstract
The entire manufacturing spectrum is transforming with the advent of Industry 4.0. The features of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA) were utilized for developing Virtual Engineering Objects (VEO), Virtual Engineering Process (VEP) and Virtual Engineering Factory (VEF), which in turn facilitate the creation of smart factories. In this study, DDNA based Machine Monitoring for Total Maintenance in Industry 4.0 framework is demonstrated. The concept of VEO is used for the Tool and Equipment Monitoring, while for the Plants Operations Monitoring and Quality Monitoring, VEP and VEF are employed. Query extraction feature of DDNA is exploited for Adaptive Control. This study shows that Machine Efficiency (ME) can be monitored along with analysis of machine KPI’s like breakdown time, setting time, and other losses. Moreover, reports can be generated efficiency-wise, breakdown-wise, operator-wise. The data of these reports is used to predict and make future decisions related to machine maintenance.
Citations
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Authors (3)
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Syed Imran Shafiq
- UoN, Australia
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Cesar Sanin
- UoN, Australia
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2021.2018549
- License
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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CYBERNETICS AND SYSTEMS
no. 53,
pages 510 - 519,
ISSN: 0196-9722 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Shafiq S. I., Sanin C., Szczerbicki E.: Decisional DNA (DDNA) Based Machine Monitoring and Total Productive Maintenance in Industry 4.0 Framework// CYBERNETICS AND SYSTEMS -Vol. 53,iss. 5 (2022), s.510-519
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2021.2018549
- Verified by:
- Gdańsk University of Technology
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