EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 301 (2019) MATEC Web Conf., 301 (2019) 00018 References
Open Access
Issue
MATEC Web Conf.
Volume 301, 2019
The 13th International Conference on Axiomatic Design (ICAD 2019)
Article Number 00018
Number of page(s) 11
DOI https://doi.org/10.1051/matecconf/201930100018
Published online 02 December 2019
  1. Kagermann H., Helbig J., Hellinger A., & Wahlster W. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion, 2013. [Google Scholar]
  2. AUDI A. (2017). Dialoge smart factory. Dialoge-Magazin, 1, 10–15. [Google Scholar]
  3. Büttner, K. H., & Brück U. (2017). Use Case Industrie 4.0-Fertigung im Siemens Elektronikwerk Amberg. In Handbuch Industrie 4.0 Bd. 4 (pp. 45–70). Springer Vieweg, Berlin, Heidelberg. [CrossRef] [Google Scholar]
  4. Santos C., Mehrsai A., Barros A. C., Araújo M.,& Ares E. (2017). Towards Industry 4.0: an overview of European strategic roadmaps. Procedia Manufacturing, 13, 972–979. [CrossRef] [Google Scholar]
  5. Li L. (2018). China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”. Technological Forecasting and Social Change, 135, 66–74. [CrossRef] [Google Scholar]
  6. Kraemer-Eis H., & Passaris G. (2015). SME securitization in Europe. Journal of Structured Finance, 20(4), 97. [CrossRef] [Google Scholar]
  7. MISE (2016). Piano nazionale Impresa 4.0. https://www.mise.gov.it/index.php/it/industria40.Lastupdate:update:26.April2019. [Google Scholar]
  8. Li B. H., Hou B. C., Yu W. T., Lu X. B., & Yang C. W. (2017). Applications of artificial intelligence in intelligent manufacturing: a review. Frontiers of Information Technology & Electronic Engineering, 18(1), 86–96. [CrossRef] [Google Scholar]
  9. Al-Jarrah O. Y., Yoo P. D., Muhaidat S., Karagiannidis G. K., & Taha K. (2015). Efficient machine learning for big data: A review. Big Data Research, 2(3), 87–93. [Google Scholar]
  10. Wang J., Ma Y., Zhang L., Gao R. X., & Wu D. (2018). Deep learning for smart manufacturing: Methods and applications. Journal of Manufacturing Systems, 48, 144–156. [CrossRef] [Google Scholar]
  11. Li L., Su F., Zhang W., & Mao J. Y. (2018). Digital transformation by SME entrepreneurs: A capability perspective. Information Systems Journal, 28(6), 1129–1157. [CrossRef] [Google Scholar]
  12. Dittert M., Härting R. C., Reichstein C., & Bayer C. (2017, June). A data analytics framework for business in small and medium-sized organizations. In International conference on intelligent decision technologies (pp. 169–181). Springer, Cham. [Google Scholar]
  13. Llave M. R. (2017). Business Intelligence and Analytics in Small and Medium-sized Enterprises: A Systematic Literature Review. Procedia Computer Science, 121, 194–205. [CrossRef] [Google Scholar]
  14. Babu K. V. S. N. (2012). Business intelligence: Concepts, components, techniques and benefits. Components, Techniques and Benefits (September 22, 2012). [Google Scholar]
  15. Pighin M., & Marzona A. (2012, May). Data value in decision process: Survey on decision support system in small and medium enterprises. In 2012 Proceedings of the 35th International Convention MIPRO (pp. 1647–1654). IEEE. [Google Scholar]
  16. Schuetz C. G., Neumayr B., Schrefl M., & Neuböck T. (2016). Reference modeling for data analysis: The BIRD approach. International Journal of Cooperative Information Systems, 25(02), 1650006. [CrossRef] [Google Scholar]
  17. Schütz C., & Schrefl M. (2014, September). Customization of domain-specific reference models for data warehouses. In 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (pp. 61–70). IEEE. [CrossRef] [Google Scholar]
  18. Dyczkowski M., Korczak J., & Dudycz H. (2014, September). Multi-criteria evaluation of the intelligent dashboard for SME managers based on scorecard framework. In 2014 Federated Conference on Computer Science and Information Systems (pp. 1147–1155). IEEE. [CrossRef] [Google Scholar]
  19. Korczak J., Dudycz H., & Dyczkowski M. (2012, September). Intelligent dashboard for SME managers. Architecture and functions. In 2012 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 1003–1007). IEEE. [Google Scholar]
  20. Rao J. J., & Kumar V. (2019). Technology Adoption in the SME Sector for Promoting Agile Manufacturing Practices. In Smart Intelligent Computing and Applications (pp. 659–665). Springer, Singapore. [CrossRef] [Google Scholar]
  21. Lee J. Y., Yoon J. S., & Kim B. H. (2017). A big data analytics platform for smart factories in small and medium-sized manufacturing enterprises: An empirical case study of a die casting factory. International Journal of Precision Engineering and Manufacturing, 18(10), 1353–1361. [CrossRef] [Google Scholar]
  22. Park H., Ji B., Lee M., Choi J., Lee J., Bang S. H., & Cho H. (2017, September). Conceptual Development Process of Mass-customizable Data Analytics Services for Manufacturing SMEs. In IFIP International Conference on Advances in Production Management Systems (pp. 194–201). Springer, Cham. [Google Scholar]
  23. Soroka A., Liu Y., Han L., & Haleem M. S. (2017). Big data driven customer insights for SMEs in redistributed manufacturing. Procedia CIRP, 63, 692–697. [CrossRef] [Google Scholar]
  24. Suh H. P. (2001). Axiomatic Design: advances and applications MIT-Pappalardo series in Mechanical Engineering. Oxford University Press, USA. [Google Scholar]
  25. Brown C. A. (2005). Teaching axiomatic design to engineers—Theory, applications, and software. Journal of Manufacturing Systems, 24(3), 186–195. [Google Scholar]
  26. Rojas R. A., Rauch E., Vidoni R., & Matt D. T. (2017). Enabling connectivity of cyber-physical production systems: a conceptual framework. Procedia Manufacturing, 11, 822–829. [CrossRef] [Google Scholar]
  27. Dennert A., Gössling A., Krause J., Wollschlaeger M., & Montoya A. M. H. (2012, May). Vertical data integration in automation based on IEC 61499. In 2012 9th IEEE International Workshop on Factory Communication Systems (pp. 99–102). IEEE. [CrossRef] [Google Scholar]
  28. Schlechtendahl J., Keinert M., Kretschmer F., Lechler A., & Verl A. (2015). Making existing production systems Industry 4.0-ready. Production Engineering, 9(1), 143–148. [CrossRef] [Google Scholar]
  29. Menezes S., Creado S., & Zhong R. Y. (2017). Smart Manufacturing Execution Systems for Small and Medium-sized Enterprises. decision making, 13, 14. [Google Scholar]
  30. Gronau N., & Lass S. (2018). Digitalisierung der Produktion in KMU. In: Dominik T.Matt (ed.) KMU 4.0 Digitale Transformation in kleinen und mittelständischen Unternehmen, Berlin: Gito Verlag, 135–152. [Google Scholar]
  31. Bosch (2019). Industry 4.0 retrofit project. https://www.bosch.com/stories/industry-4-0-retrofitproject/. Last update: 25. April 2019. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.