Considered as a top priority of industrial development, Industry 4.0 (or Industrie 4.0 as the German version) has being highlighted as the pursuit of both academy and practice in companies. In this paper, based on the review of state of art and also the state of practice in different countries, shortcomings have been revealed as the lacking of applicable framework for the implementation of Industrie 4.0. Therefore, in order to shed some light on the knowledge of the details, a reference architecture is developed, where four perspectives namely manufacturing process, devices, software and engineering have been highlighted. Moreover, with a view on the importance of Cyber-Physical systems, the structure of Cyber-Physical System are established for the in-depth analysis. Further cases with the usage of Cyber-Physical System are also arranged, which attempts to provide some implications to match the theoretical findings together with the experience of companies. In general, results of this paper could be useful for the extending on the theoretical understanding of Industrie 4.0. Additionally, applied framework and prototypes based on the usage of Cyber-Physical Systems are also potential to help companies to design the layout of sensor nets, to achieve coordination and controlling of smart machines, to realize synchronous production with systematic structure, and to extend the usage of information and communication technologies to the maintenance scheduling.
Egon Mueller
,
Xiao-Li Chen
,
Ralph Riedel
. Challenges and Requirements for the Application of Industry 4.0:A Special Insight with the Usage of Cyber-Physical System[J]. Chinese Journal of Mechanical Engineering, 2017
, 30(5)
: 1050
-1057
.
DOI: 10.1007/s10033-017-0164-7
Considered as a top priority of industrial development, Industry 4.0 (or Industrie 4.0 as the German version) has being highlighted as the pursuit of both academy and practice in companies. In this paper, based on the review of state of art and also the state of practice in different countries, shortcomings have been revealed as the lacking of applicable framework for the implementation of Industrie 4.0. Therefore, in order to shed some light on the knowledge of the details, a reference architecture is developed, where four perspectives namely manufacturing process, devices, software and engineering have been highlighted. Moreover, with a view on the importance of Cyber-Physical systems, the structure of Cyber-Physical System are established for the in-depth analysis. Further cases with the usage of Cyber-Physical System are also arranged, which attempts to provide some implications to match the theoretical findings together with the experience of companies. In general, results of this paper could be useful for the extending on the theoretical understanding of Industrie 4.0. Additionally, applied framework and prototypes based on the usage of Cyber-Physical Systems are also potential to help companies to design the layout of sensor nets, to achieve coordination and controlling of smart machines, to realize synchronous production with systematic structure, and to extend the usage of information and communication technologies to the maintenance scheduling.
1. X L Chen. Technological innovation capability evaluation and decision support for companies in innovation alliance. Doctor Thesis, Technische Universitat Chemnitz, Germany, 2014.
2. J Gubbi, R Buyya, S Marusic, et al. Internet of Things (IoT):A vision, architectural elements, and future directions. Future Generation Computer Systems, 2013, 29(7):1645-1660.
3. M Hermann, T Pentek, B Otto. Design principles for Industrie 4.0 scenarios. 49th International Conference on System Sciences, Hawaii, USA, 2016:3928-3937.
4. T D Oesterreich, F Teuteberg. Understanding the implications of digitisation and automation in the context of Industry 4.0:A triangulation approach and elements of a research agenda for the construction industry. Computer in Industry, 2016, 83:121-139.
5. J Posada, D Stricker, R D Amicis, et al. Visual computing as a key enabling technology for Industrie 4.0 and Industrie Internet. IEEE Computer Graphics and Applications, 2015, 35(2):26-40.
6. E A Lee. Cyber physical systems:design challenges. 11th IEEE Symposium on Object Oriented Real-Time Distributed Computer, Orlando, Florida, USA, 2008:363-369.
7. H Kagermann, W Wahlster, J Helbig. Recommendations for implementing the strategic initiative Industrie 4.0. Final Report of the Industrie 4.0 Working Group, Frankfort, 2013.
8. JAZDI N. Cyber physical systems in the context of Industry 4.0. 19th IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), Cluj-Napoca, Romania, 2014:1-3.
9. TECHOPEDI. Internet of Things. https://www.techopedia.com/definition/28247/internet-of-things-iot, 2017.
10. S J Oks, A Fritzsche. Importance of user role concepts for the implementation and operation of service systems based on cyberphysical architectures. Innteract 2015, Chemnitz, Germany, 2015:1-5.
11. H Hopf, D Jentsch, T Lőffler, et al. Improving maintenance processes with socio-Cyber-Physical systems. 24th International conference on Flexible automation and intelligent manufacturing, Lancaster, Pennsylvania, UAS, 2014:1163-1170.
12. G Miragliotta, A Perego, A Tumino. Internet of things:smart present or smart future. Proceedings of XVⅡ Summer School Francesco Turco, 2012.
13. Federal Ministry of Education and Research (BMBF). Project of the Future:Industry 4.0. http://www.bmbf.de/en/19955.php, 2014.
14. E E Geisberger, M M Broy. Agenda CPS-integrirte Forschungsagenda Cyber-Physical Systems. Springer, 2012.
15. J Lee. Industry 4.0 in big data environment. Harting Tech News. 2013, 26:1-44.
16. DICTIONARY. Sensor. http://www.dictionary.com/browse/sensor, 2017.
17. J Elson, D Estrin. Sensor networks:a bridge to the physical world. Springer US. 2004.
18. E Müller. Challenges of demographic change to the working-and business-organization in the future. GITO GmbH Press Berlin, 2012 (in Germany).
19. Department of Factory Planning and Factory Management. Selfsustaining intelligent sensor nets for production (AiS). Project framework, Technische Universität Chemnitz, Chemnitz, Germany, 2013.
20. Department of Factory Planning and Factory Management. Synchronous production through semi-autonomous planning and human-centered decision support (SOPHIE). Project framework, Technische Universität Chemnitz, Chemnitz,Germany, 2015.
21. CEN/TC 319. DIN EN 13306 Instandhaltung -Begriffe der Instandhaltung (German version of EN 13306:maintenancemaintenance terminology). Beuth, 2010.
22. PROJECT S-CPS. Scenario for resource cockpit. Project framework, Technische Universität Chemnitz, Chemnitz, Germany, 2013.
