Journal of the Korean Society of Systems Engineering (시스템엔지니어링학술지)

The Korean Society of Systems Engineering (한국시스템엔지니어링학회)
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Smart Service System-based Architecture Design of Smart Factory

스마트 서비스 시스템 기반 스마트 팩토리 아키텍처 설계

  • Lee, Heeje (Graduate School of Engineering Mastership(GEM), Pohang University of Science and Technology(POSTECH)) ;
  • Lee, Joongyoon (Graduate School of Engineering Mastership(GEM), Pohang University of Science and Technology(POSTECH))
  • 이희제 (포항공과대학교 엔지니어링대학원) ;
  • 이중윤 (포항공과대학교 엔지니어링대학원)
  • Received : 2017.11.14
  • Accepted : 2017.12.27
  • Published : 2017.12.31
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Abstract

A new paradigm based on distributed manufacturing services is emerging. This paradigm shift can be realized by smart functions and smart technologies such as Cyber Physical System (CPS), Artificial Intelligence (AI), and Cloud Computing. Most architectures define stack levels from Level 0 (equipment) to Level 4 (business area) and specify the services to be provided between them. Because of their a rough technical specification, there is a limitation on how to actually utilize a technology to actually implement a smart factory service with this architecture. In this paper, we propose a smart factory architecture that can be utilized directly from the perspective of a smart service system by making the use of System Engineering Process and System Modeling Language (SysML).

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References

  1. Li Da Xu, Enterprise systems: stateof-the-art and future trends, IEEE Transactions on Industrial Informatics, Vol. 7, No. 4, 630-640, 2011. https://doi.org/10.1109/TII.2011.2167156
  2. Dominik Lucke, Carmen Constantinescu, and Engelbert WestkWmper, Smart factory-a step towards the Next Generation of Manufacturing, Manufacturing Systems and Technologies for the new frontier, 115-118, 2008.
  3. Jay Lee, Behrad Bagheri, and Hung-An Kao, A cyber-physical systems architecture for industry 4.0-based manufacturing systems, Manufacturing letters, 3, 18-23, 2015. https://doi.org/10.1016/j.mfglet.2014.12.001
  4. Hankel, Martin, and Bosch Rexroth, The reference architectural model industrie 4.0 (rami 4.0), ZVEI , 2015.
  5. PRMS 4.0, http://cpmi.postech.ac.kr/researchparadigm/
  6. Demirkan, Haluk, et al, Innovations with Smart Service Systems: Analytics, Big Data, Cognitive Assistance, and the Internet of Everything, CAIS, 37:35, 2015.
  7. Tao, F., Zuo, Y., Da Xu, L., Zhang, L., IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Transactions on Industrial Informatics, 10(2), 1547-1557, 2014. https://doi.org/10.1109/TII.2014.2306397
  8. Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D, About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine, 48(3), 567-572, 2015. https://doi.org/10.1016/j.ifacol.2015.06.141
  9. Barile, Sergio, and Francesco Polese, Smart service systems and viable service systems: Applying systems theory to service science, Service Science 2.1-2, 21-40, 2010. https://doi.org/10.1287/serv.2.1_2.21
  10. Strategos-International, Toyota Production System and Lean Manufacturing, http://www.strategosinc.com/toyota_production.htm
  11. ElMaraghy, Hoda A, Flexible and Reconfigurable Manufacturing Systems Paradigms, International Journal of Flexible Manufacturing Systems, 17.4, 261-276, 2005. https://doi.org/10.1007/s10696-006-9028-7
  12. Glossary of Sustainable Manufacturing Terms, EPA, http://archive.epa.gov/sustainablemanufacturing/web/html/glossary.html
  13. DOE-FOA-0001263, Manufacturing Innovation Institute for Smart Manufacturing: Advanced Sensors, Controls, Platforms, and Modeling for Manufacturing.
  14. Smart Factory Architecture - Plate Mill Application Concept, Joongyoon Lee, 2017 Spring Conference of The Korean Society of Systems Engineering, 2017.
  15. Cheol Young Park, Kathryn B. Laskey, Shelly Salim, and Joong-Yoon Lee, Predictive situation awareness model for smart manufacturing, In Proceedings of 2017 20th International Conference on Information Fusion (Fusion 2017). 1-8, 2017.