Abstract
ABSTRACT Industry 4.0 aims at providing a digital representation of a production landscape, but the challenges in building, maintaining, optimizing, and evolving digital models in inter-organizational production chains have not been identified yet in a systematic manner. In this paper, various Industry 4.0 research and technical challenges are addressed, and their present scenario is discussed. Moreover, in this article, the novel concept of developing experience-based virtual models of engineering entities, process, and the factory is presented. These models of production units, processes, and procedures are accomplished by virtual engineering object (VEO), virtual engineering process (VEP), and virtual engineering factory (VEF), using the knowledge representation technique of Decisional DNA. This blend of the virtual and physical domains permits monitoring of systems and analysis of data to foresee problems before they occur, develop new opportunities, prevent downtime, and even plan for the future by using simulations. Furthermore, the proposed virtual model concept not only has the capability of Query Processing and Data Integration for Industrial Data but also real-time visualization of data stream processing.
Citations
-
5
CrossRef
-
0
Web of Science
-
1 0
Scopus
Authors (3)
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (2020 Taylor & Francis Group, LLC)
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
CYBERNETICS AND SYSTEMS
no. 51,
pages 84 - 102,
ISSN: 0196-9722 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Shafiq S., Sanin C., Szczerbicki E.: Knowledge-Based Virtual Modeling and Simulation of Manufacturing Processes for Industry 4.0// CYBERNETICS AND SYSTEMS -Vol. 51,iss. 2 (2020), s.84-102
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2019.1705546
- Bibliography: test
-
- H. Ning, and H. Liu, "Cyber-physical-social-thinking space based science and technology framework for the Internet of things.," Science China Information Sciences, vol. 58, pp. 1-19, 2015. open in new tab
- J. Cooper, and A. James, "Challenges for database management in the Internet of things," IETE Technical Review, vol. 26, pp. 320-329, 2019. open in new tab
- K. Alexopoulos, S. Makris, V. Xanthakis, K. Sipsas, and George Chryssolouris, "A Concept for Context-aware Computing in Manufacturing: The White Goods Case," International Journal of Computer Integrated Manufacturing, vol. 29, no. 8, pp. 839-849, 2016. open in new tab
- Y. Cheng, K. Chen, H. Sun, Y. Zhang, and F. Tao., "Data and Knowledge Mining with Big Data towards Smart Production.," Journal of Industrial Information Integration, 2017. open in new tab
- G. G. T. Invest), "Industries 4.0-Smart Manufacturing for the Future," 2014. open in new tab
- J. Kim, "A Review of Cyber-physical System Research Relevant to the Emerging IT Trends: Industry 4.0, IoT, Big Data, and Cloud Computing." " Journal of Industrial Integration and Management vol. 2, no. 3, 2017. open in new tab
- L. D. Xu, E. L. Xu, and L. Li, "Industry 4.0: state of the art and future trends," International Journal of Production Research, vol. 56, no. 8, pp. 2941- 2962, 2018/04/18, 2018. open in new tab
- A. Kusiak, "Smart Manufacturing.," International Journal of Production Research., 2017. open in new tab
- V. Roblek, M. Mesko, and A. Krapez, "A Complex View of Industry 4.0.," SAGE Open, vol. June, pp. 1-11, 2016. open in new tab
- K. Zhou, T. Liu, and L. Zhou. , "Industry 4.0: Towards Future Industrial Opportunities and Challenges." pp. 2147-2152. open in new tab
- Y. Liao, F. Deschamps, E. d. F. R. Loures, and L. F. P. Ramos, "Past, present and future of Industry 4.0 -a systematic literature review and research agenda proposal," International Journal of Production Research, vol. 55, no. 12, pp. 3609-3629, 2017/06/18, 2017. open in new tab
- C. Arnold, D. Kiel, and K. Voigt., "How the Industrial Internet of Things Changes Business Models in Different Manufacturing Industries.," International Journal of Innovation Management, vol. 20, no. 8, pp. 1-25, 2016. open in new tab
- Z. Bi, and D. Cochran., "Big Data Analytics with Applications," Journal of Management Analytics, vol. 1, no. 4, pp. 249-265, 2014. open in new tab
- L. Xu, W. He, and S. Li., "Internet of Things in Industries: A Survey.," IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2233-2243, 2014. open in new tab
- G. Xiao, J. Guo, L. Xu, and Z. Gong., "User Interoperability with Heterogeneous IoT Devices through Transformation.," IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1486-1496, 2014.
- W. Wang, A. Gupta, N. Niu, L. Xu, J. Cheng, and Z. Niu., "Automatically Tracing Dependability Requirements via Term-Based Relevance Feedback.," IEEE Transactions on Industrial Informatics vol. 14, no. 1, pp. 342-349, 2018. open in new tab
- V. V.-G. M.-u. Automatisierungstechnik, Status Report-Reference Architecture Model Industrie 4.0 (RAMI4.0).Technical Report., 2015.
- I. I. Consortium., The Industrial Internet of Things 2017.
- S. Li, and L. Xu., Securing the Internet of Things: Syngress, Elsevier, 2017. open in new tab
- Y. Yin, Y. Zeng, X. Chen, and Y. Fan., "The Internet of Things in Healthcare: An Overview.," Journal of Industrial Information Integration vol. 1, no. 3, pp. 3-13, 2016. open in new tab
- N. Joshi. "Blockchain Meets Industry 4.0-What Happened Next?," https://www.allerin.com/blog/5659-2.
- A. Arsénio, H. Serra, R. Francisco, F. Nabais, J. Andrade, and E. Serrano., "Internet of Intelligent Things: Bringing Artificial Intelligence into Things and Communication Networks," Studies in Computational Intelligence, vol. 495, pp. 1-37, 2014. open in new tab
- J. Nikander, "Suitability of PapiNet-standard for Straw Biomass Logistics," Journal of Industrial Information Integration vol. 6, pp. 11-21, 2017. open in new tab
- S. I. Shafiq, C. Sanin, E. Szczerbicki, and C. Toro, "Virtual Engineering Object / Virtual Engineering Process: A specialized form of Cyber Physical System for Industrie 4.0," Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, C. P. Liya Ding, Leong Mun Kew, Lakhmi C. Jain, Robert J. Howlet, ed., pp. 1146-1155, Singapore: Procedia Computer Science, 2015. open in new tab
- S. I. Shafiq, C. Sanin, and E. Szczerbicki, "Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA): Past, Present and Future," Cybernetics and Systems, vol. 45, no. 02, pp. 200-215, 2014. open in new tab
- C. S. Sanin, Imran; Waris, Mohammad Maqbool; open in new tab
- Toro, Carlos; Szczerbicki, Edward, "Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory," Journal of Intelligent & Fuzzy Systems, vol. 32, no. 2, pp. 1585-159, 2017.
- S. I. Shafiq, C. Sanin, E. Szczerbicki, and C. Toro, "Towards an experience based collective computational intelligence for manufacturing," Future Generation Computer Systems, vol. 66, pp. 89-99, 2017/01/01/, 2017. open in new tab
- S. I. Shafiq, E. Szczerbicki, and C. Sanin, "Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario," Cybernetics and Systems, vol. 49, no. 5-6, pp. 280-295, 2018/08/18, 2018. open in new tab
- S. I. Shafiq, C. Sanin, C. Toro, and E. Szczerbicki, "Virtual engineering process (VEP): a knowledge representation approach for building bio- inspired distributed manufacturing DNA," International Journal of Production Research, pp. 1-14, 2015. open in new tab
- E. A. Lee, and S. A. Seshia, "Introduction to Embedded Systems, A Cyber-Physical Systems Approach," LeeSeshia.org, 2014. open in new tab
- Verified by:
- Gdańsk University of Technology
seen 114 times
Recommended for you
Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario
- E. Szczerbicki,
- S. I. Shafiq,
- C. Sanin
Virtual Engineering Factory: Creating Experience Base for Industry 4.0
- S. I. Shafiq,
- C. Sanin,
- E. Szczerbicki
- + 1 authors
Proposition of the methodology for Data Acquisition, Analysis and Visualization in support of Industry 4.0
- S. I. Shafiq,
- E. Szczerbicki,
- C. Sanin