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Cybernetics and Systems
An International Journal
Volume 55, 2024 - Issue 3: Society 4.0: Issues, Challenges, Approaches, and Enabling Technologies
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Research Articles

Decisional-DNA-Based Digital Twin Implementation Architecture for Virtual Engineering Objects

Syed Imran Shafiqa Faculty of Engineering and Technology, Aligarh Muslim University, Aligarh, IndiaCorrespondence[email protected]
,
Cesar Saninb Australian Institute of Higher Education, Sydney, Australia
&
Edward Szczerbickic Faculty of Management and Economics, Gdansk University of Technology, Poland
Pages 719-729 | Published online: 02 Jan 2023

References

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  • Everton, S. K., M. Hirsch, P. Stravroulakis, R. K. Leach, and A. T. Clare. 2016. Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing. Materials and Design 95:431–45. doi:10.1016/j.matdes.2016.01.099.
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  • Iso. 23247–1. 2021. ISO 23247–1: Automation systems and integration – Digital twin framework for manufacturing – Part 1: Overview and general principles. Geneva, Switzerland. International Organization for Standardization
  • Kim, D. B., P. Witherell, R. Lipman, and S. C. Feng. 2015. Streamlining the additive manufacturing digital spectrum: A systems approach. Additive Manufacturing 5:20–30. doi:10.1016/j.addma.2014.10.004.
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  • Sanin, C. and E. Szczerbicki. 2008. Decisional DNA and the Smart Knowledge Management System: A Process of Transforming Information into Knowledge. In Techniques and Tool for the Design and Implemention of Enterprise Information Systems, ed. A. Gunasekaran, 149–75. New York, NY, USA: IGI.
  • Sanín, C., L. Mancilla-Amaya, Z. Haoxi, and E. Szczerbicki. 2012. Decisional DNA: tHe concept and its implementation platforms. Cybernetics and Systems 43 (2):67–80. doi:10.1080/01969722.2012.654069.
  • Shafiq, S. I., C. Sanin, and E. Szczerbicki. 2014. Set of experience knowledge structure (SOEKS) and decisional DNA (DDNA): Past, present and future. Cybernetics and Systems 45 (2):200–15. doi:10.1080/01969722.2014.874830.
  • Shafiq, S. I., C. Sanin, C. Toro, and E. Szczerbicki. 2015. Virtual Engineering Object (VEO): Toward experience-based design and manufacturing for Industry 4.0. Cybernetics and Systems 46 (1–2):35–50. doi:10.1080/01969722.2015.1007734.
  • Shafiq, S. I., C. Sanin, C. Toro, and E. Szczerbicki. 2016. Virtual engineering process (VEP): A knowledge representation approach for building bio-inspired distributed manufacturing DNA. International Journal of Production Research 54 (23):7129–42. doi:10.1080/00207543.2015.1125545.
  • Shafiq, S. I., C. Sanin, E. Szczerbicki, C. Toro. 2014. Decisional DNA based framework for representing virtual engineering objects. In Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science, eds. N. T. Nguyen, B. Attachoo, B. Trawiński, K. Somboonviwat. vol 8397. Cham: Springer. doi:10.1007/978-3-319-05476-6_43.
  • Shafiq, S. I., C. Sanin, E. Szczerbicki, and C. Toro. 2014. Virtual Engineering Objects (VEO): Designing, developing and testing models. In System Analysis Approach to the Design, Control and Decision Support, eds. L. Borzecki, A. Grzech, J. Swiatek and Z. Wilimowska, 183–92. Wroclaw, Poland: Wroclaw University of Technology Press,

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