Advanced search
Publication Cover
International Journal of Computer Integrated Manufacturing Volume 32, 2019 - Issue 4-5: Smart Cyber-Physical System Applications in Production and Logistics
Submit an article Journal homepage
1,457
Views
0
CrossRef citations to date
0
Altmetric
Editorial

Smart Cyber-Physical System applications in production and logistics: special issue editorial

Elisabeth Ilie-ZudorMTA SZTAKI, Budapest, HungaryCorrespondence[email protected]
,
Davy Preuveneersimec-DistriNet-KU Leuven, Belgium
,
Anikó EkártAston University, Birmingham, UK
&
Eckhard HohwielerFraunhofer IPK, Berlin, Germany
Pages 327-328 | Published online: 12 Jun 2019

References

  • Bosch, J. 2016. “Speed, Data, and Ecosystems: The Future of Software Engineering.” IEEE Software 33 (1): 82–88. doi:10.1109/MS.2016.14.
  • Dubey, R., A. Gunasekaran, S. J. Childe, S. F. Wamba, and T. Papadopoulos. 2016. “The Impact of Big Data on World-Class Sustainable Manufacturing.” The International Journal of Advanced Manufacturing Technology 84 (1–4): 631–645. doi:10.1007/s00170-015-7674-1.
  • Khaitan, S. K., and J. D. McCalley. 2015. “Design Techniques and Applications of Cyberphysical Systems: A Survey.” IEEE Systems Journal 9 (2): 350–365. doi:10.1109/JSYST.2014.2322503.
  • Ma, A., A. Nassehi, and C. Snider. 2018. “Anarchic Manufacturing.” International Journal of Production Research. doi:10.1080/00207543.2018.1521534.
  • Nahian Al Sunny, S. M., X. F. Liu, and M. R. Shahriar. 2018. “Communication Method for Manufacturing Services in a Cyber–Physical Manufacturing Cloud.” International Journal of Computer Integrated Manufacturing 31 (7): 636–652. doi:10.1080/0951192X.2017.1407446.
  • Narayanan, A., J. Bonneau, E. Felten, A. Miller, and S. Goldfeder. 2016. Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction. Princeton: Princeton University Press.
  • O’Donovan, P., K. Leahy, K. Bruton, and D. T. O’Sullivan. 2015. “Big Data in Manufacturing: A Systematic Mapping Study.” Journal of Big Data 2 (1): 20. doi:10.1186/s40537-015-0028-x.
  • Preuveneers, D., and E. Ilie-Zudor. 2017. “The Intelligent Industry of the Future: A Survey on Emerging Trends, Research Challenges and Opportunities in Industry 4.0.” Journal of Ambient Intelligence and Smart Environments 9 (3): 287–298. doi:10.3233/AIS-170432.
  • Varsaluoma, J., H. Väätäjä, T. Heimonen, K. Tiitinen, J. Hakulinen, M. Turunen, and H. Nieminen. 2017, July. “Usage Data Analytics for Human-Machine Interactions with Flexible Manufacturing Systems: Opportunities and Challenges.” In 21st International Conference on Information Visualisation (IV), 427–434. London, UK: IEEE.
  • Wang, J., Y. Ma, L. Zhang, R. X. Gao, and D. Wu. 2018. “Deep Learning for Smart Manufacturing: Methods and Applications.” Journal of Manufacturing Systems 48: 144–156. doi:10.1016/j.jmsy.2018.01.003.
  • Zhong, R. Y., X. Xu, E. Klotz, and S. T. Newman. 2017. “Intelligent Manufacturing in the Context of Industry 4.0: A Review.” Engineering 3 (5): 616–630. doi:10.1016/J.ENG.2017.05.015.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.