Advertisement

Smart manufacturing based on cyber-physical systems and beyond

  • Xifan Yao
  • Jiajun Zhou
  • Yingzi Lin
  • Yun Li
  • Hongnian Yu
  • Ying Liu
Article

Abstract

Cyber-physical systems (CPS) have gained an increasing attention recently for their immense potential towards the next generation smart systems that integrate cyber technology into the physical processes. However, CPS did not initiate either smart factories or smart manufacturing, and vice versa. Historically, the smart factory was initially studied with the introduction of the Internet of Things (IoT) in manufacturing, and later became a key part of Industry 4.0. Also emerging are other related models such as cloud manufacturing, social manufacturing and proactive manufacturing with the introduction of cloud computing (broadly, the Internet of Services, IoS), social networking (broadly, the Internet of People, IoP) and big data (broadly, the Internet of Content and Knowledge, IoCK), respectively. At present, there is a lack of a systemic and comprehensive study on the linkages and relations between these terms. Therefore, this study first presents a comprehensive survey and analysis of the CPS treated as a combination of the IoT and the IoS. Then, the paper addresses CPS-based smart manufacturing as an eight tuple of CPS, IoT, IoS and IoCK as elements. Further, the paper extends the eight-tuple CPS-based manufacturing to social-CPS (SCPS)-based manufacturing, termed wisdom manufacturing, which forms a nine tuple with the addition of one more element, the IoP and which is based on the SCPS instead of CPS. Both architectures and characteristics for smart and wisdom manufacturing are addressed. As such, these terms’ linkages are established and relations are clarified with a special discussion. This study thus contributes as a theoretical basis and as a comprehensive framework for emerging manufacturing integration.

Keywords

Cyber-physical system Smart manufacturing Wisdom manufacturing Socio-cyber-physical system Industry 4.0 CIMS 

Notes

Acknowledgements

The project was supported by the National Natural Science Foundation of China under Grant Nos. 51675186 and 51175187, and the Science and Technology Foundation of Guangdong Province under Grant Nos. 2016B090918035 and 2017A030223002.

References

  1. Araujo, J., Mazo, M., Anta, A., Tabuada, P., & Johansson, K. H. (2014). System architectures, protocols and algorithms for aperiodic wireless control systems. IEEE Transactions on Industrial Informatics, 10(1), 175–184.CrossRefGoogle Scholar
  2. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787–2805.CrossRefGoogle Scholar
  3. Bi, Z. M., & Kang, B. (2010). Enhancement of adaptability of parallel kinematic machines with an adjustable platform. Journal of Manufacturing Science and Engineering, 132(6), 061016.CrossRefGoogle Scholar
  4. Bi, Z., Xu, L. D., & Wang, C. (2014). Internet of things for enterprise systems of modern manufacturing. IEEE Transactions on Industrial Informatics, 10(2), 1537–1546.  https://doi.org/10.1109/tii.2014.2300338.CrossRefGoogle Scholar
  5. Bogdan, P., & Marculescu, R. (2011). Cyber physical systems: Workload modeling and design optimization. IEEE Design and Test of Computers, 28(4), 78–87.  https://doi.org/10.1109/MDT.2010.142.CrossRefGoogle Scholar
  6. Davis, J., Edgar, T., Graybill, R., Korambath, P., Schott, B., Swink, D., et al. (2015). Smart manufacturing. Annual Review of Chemical and Biomolecular Engineering, 6, 141–160.  https://doi.org/10.1146/annurev-chembioeng-061114-123255.CrossRefGoogle Scholar
  7. De Amorim, M. D., Ziviani, A., Viniotis, Y., & Tassiulas, L. (2008). Practical aspects of mobility in wireless self-organizing networks. EEE Wireless Communications, 15(6), 6–7.CrossRefGoogle Scholar
  8. Derler, P., Lee, E. A., & Vincentelli, A. S. (2012). Modeling cyber-physical systems. Proceedings of the IEEE, 100(1), 13–28.  https://doi.org/10.1109/jproc.2011.2160929.CrossRefGoogle Scholar
  9. Dillon, T. S., Hai, Z., Wu, C., Singh, J., & Chang, E. (2011). Web-of-things framework for cyber-physical systems. Concurrency and Computation Practice and Experience, 23(9), 905–923.  https://doi.org/10.1002/cpe.1629.CrossRefGoogle Scholar
  10. Dong, J., Xiao, T., & Zhang, L. (2012). A prototype architecture for assembly-oriented cyber-physical systems. Paper presented at the Communications in Computer and Information Science, Shanghai, China.Google Scholar
  11. Dubey, R., Gunasekaran, A., Childe, S. J., Wamba, S. F., & Papadopoulos, T. (2015). The impact of big data on world-class sustainable manufacturing. The International Journal of Advanced Manufacturing Technology, 84, 631–645.CrossRefGoogle Scholar
  12. Feld, T., Hoffmann, M., & Schmidt, R. (2012). Industry 4.0—From smart products to smart production. Information Management and Consulting, 27(3), 38–42.Google Scholar
  13. Gunes, V., Peter, S., Givargis, T., & Vahid, F. (2014). A survey on concepts, applications, and challenges in cyber-physical systems. KSII Transactions on Internet and Information Systems, 8(12), 4242–4268.  https://doi.org/10.3837/tiis.2014.12.001.Google Scholar
  14. Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015). The rise of "big data" on cloud computing: Review and open research issues. Information Systems, 47, 98–115.  https://doi.org/10.1016/j.is.2014.07.006.CrossRefGoogle Scholar
  15. Hermann, M., Pentek, T., & Otto, B. (2015). Design principles for Industrie 4.0 scenarios: a literature review. http://www.snom.mb.tu-dortmund.de/cms/de/forschung/Arbeitsberichte/Design-Principles-for-Industrie-4_0-Scenarios.pdf.
  16. Huang, G. Q., Wright, P. K., & Newman, S. T. (2009). Wireless manufacturing: A literature review, recent developments, and case studies. International Journal of Computer Integrated Manufacturing, 22(7), 579–594.  https://doi.org/10.1080/09511920701724934.CrossRefGoogle Scholar
  17. Huang, G. Q., Zhang, Y. F., & Jiang, P. Y. (2008). RFID-based wireless manufacturing for real-time management of job shop WIP inventories. International Journal of Computer Integrated Manufacturing, 36(7–8), 752–764.  https://doi.org/10.1007/s00170-006-0897-4.Google Scholar
  18. Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. http://www.acatech.de/fileadmin/user_upload/Baumstruktur_nach_Website/Acatech/root/de/Material_fuer_Sonderseiten/Industrie_4.0/Final_report_Industrie_4.0_accessible.pdf.
  19. Koubâa, A., & Andersson, B. (2009). A vision of cyber-physical internet. In Proceedings of 8th international workshop on real-time networks (RTN), Paris, France, 2009 (pp. 1–6).Google Scholar
  20. Krishnamurthy, A. (2007). From just in time manufacturing to on-demand services. In C. Hsu (Ed.), Service enterprise integration: An enterprise engineering perspective. New York: Springer.Google Scholar
  21. Lasi, H., Kemper, H.-G., Fettke, P., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business and Information Systems Engineering, 6(4), 239–242.  https://doi.org/10.1007/s12599-014-0334-4.CrossRefGoogle Scholar
  22. Lee, E. A. (2008). Cyber physical systems: design challenges. In 11th IEEE international symposium on object oriented real-time distributed computing (ISORC), Orlando, FL, 2008 (pp. 363–369).  https://doi.org/10.1109/isorc.2008.25.
  23. Lee, J., Bagheri, B., & Hung-An, K. (2015). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23.  https://doi.org/10.1016/j.mfglet.2014.12.001.CrossRefGoogle Scholar
  24. Lee, J. Y., Choi, S. S., Kim, G. Y., & Noh, S. D. (2011). Ubiquitous product life cycle management (u-PLM): A real-time and integrated engineering environment using ubiquitous technology in product life cycle management (PLM). International Journal of Computer Integrated Manufacturing, 24(7), 627–649.  https://doi.org/10.1080/0951192x.2011.569953.CrossRefGoogle Scholar
  25. Lee, J., Ghaffari, M., & Elmeligy, S. (2011). Self-maintenance and engineering immune systems: Towards smarter machines and manufacturing systems. Annual Reviews in Control, 35(1), 111–122.CrossRefGoogle Scholar
  26. Lee, J., Kao, H.-A., & Yang, S. (2014). Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP, 16, 3–8.  https://doi.org/10.1016/j.procir.2014.02.001.CrossRefGoogle Scholar
  27. Lee, J., Lapira, E., Bagheri, B., & Kao, H. A. (2013). Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing Letters, 1(1), 38–41.CrossRefGoogle Scholar
  28. Ma, H. D. (2011). Internet of things: Objectives and scientific challenges. Journal of Computer science and Technology, 26, 919–924.CrossRefGoogle Scholar
  29. Maione, B., & Naso, D. (2001). Evolutionary adaptation of dispatching agents in heterarchical manufacturing systems. International Journal of Production Research, 39(7), 1481–1503.CrossRefGoogle Scholar
  30. Mehrabi, M. G., Ulsoy, A. G., & Koren, Y. (2000). Reconfigurable manufacturing systems: Key to future manufacturing. Journal of Intelligent Manufacturing, 11(4), 403–419.CrossRefGoogle Scholar
  31. Meier, H., Roy, R., & Seliger, G. (2010). Industrial product-service systems-IPS2. CIRP Annals-Manufacturing Technology, 59(2), 607–627.  https://doi.org/10.1016/j.cirp.2010.05.004.CrossRefGoogle Scholar
  32. Mordinyi, R., & Biffl, S. (2015). Versioning in cyber-physical production system engineering: best-practice and research agenda. In IEEE/ACM 1st international workshop on software engineering for smart cyber-physical systems, Florence, Italy, 2015 (pp. 44–47). IEEE.  https://doi.org/10.1109/SEsCPS.2015.16.
  33. Nonaka, I., & Takeuchi, H. (1995). The knowledge creating company: How Japanese companies create the dynamics of innovation. New York: Oxford University Press.Google Scholar
  34. Owen, R., Macnaghten, P., & Stilgoe, J. (2012). Responsible research and innovation: From science in society to science for society with society. Science and Public Policy, 39(6), 751–760.CrossRefGoogle Scholar
  35. Pang, L. Y., Zhong, R. Y., Fang, J., & Huang, G. Q. (2015). Data-source interoperability service for heterogeneous information integration in ubiquitous enterprises. Advanced Engineering Informatics, 29(3), 549–561.  https://doi.org/10.1016/j.aei.2015.04.007.CrossRefGoogle Scholar
  36. PCAST. (2007). Leadership under challenge: Information technology R&D in a competitive world. http://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-07-nitrd-review.pdf.
  37. PCAST. (2008). Disruptive civil technologies-six technologies with potential impacts on US interests out to 2025. http://fas.org/irp/nic/disruptive.pdf.
  38. Peter, O., & John, H. (2010). OMB-OSTP science and technology priorities memo.https://www.whitehouse.gov/sites/default/files/microsites/ostp/fy12-budget-guidance-memo.pdf.
  39. Poetz, M. K., & Schreier, M. (2012). The value of crowdsourcing: Can users really compete with professionals in generating new product ideas? Journal of Product Innovation Management, 29(2), 245–256.  https://doi.org/10.1111/j.1540-5885.2011.00893.x.CrossRefGoogle Scholar
  40. Ren, L., Zhang, L., Tao, F., Zhao, C., Chai, X., & Zhao, X. (2015). Cloud manufacturing: From concept to practice. Enterprise Information Systems, 9(2), 186–209.  https://doi.org/10.1080/17517575.2013.839055.CrossRefGoogle Scholar
  41. Ruiz-Arenas, S., Horvath, I., Mejia-Gutierrez, R., & Opiyo, E. Z. (2014). Towards the maintenance principles of cyber-physical systems. Journal of Mechanical Engineering, 60(12), 815–831.  https://doi.org/10.5545/sv-jme.2013.1556.CrossRefGoogle Scholar
  42. Schuh, G., Rudolf, S., Pitsch, M., Sommer, M., & Karmann, W. (2015). Modular service-oriented cyber-physical systems for the European tool making industry. Applied Mechanics and Materials, 752–753, 1349–1355.  https://doi.org/10.4028/www.scientific.net/AMM.752-753.1349.CrossRefGoogle Scholar
  43. Sha, L., Gopalakrishnan, S., Liu, X., & Wang, Q. (2008). Cyber-physical systems: A new frontier. In Proceedings of the 2008 IEEE international conference on sensor networks, ubiquitous, and trustworthy computing, Taichung, Taiwan, 2008 (pp. 1–9). IEEEGoogle Scholar
  44. Shi, J., Wan, J., Yan, H., & Suo, H. (2011). A survey of cyber-physical systems. In 2011 international conference on wireless communications and signal processing (WCSP), Nanjing, China (pp. 1–6). IEEEGoogle Scholar
  45. Shrouf, F., & Miragliotta, G. (2015). Energy management based on Internet of Things: Practices and framework for adoption in production management. Journal of Cleaner Production, 100, 235–246.  https://doi.org/10.1016/j.jclepro.2015.03.055.CrossRefGoogle Scholar
  46. Shrouf, F., Ordieres, J., & Miragliotta, G. (2014). Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm. In 2014 IEEE International Conference on Industrial Engineering and Engineering Management, Selangor, Malaysia (pp. 697–701). IEEE.  https://doi.org/10.1109/ieem.2014.7058728.
  47. Suh, S. H., Shin, S. J., Yoon, J. S., & Um, J. M. (2008). UbiDM: A new paradigm for product design and manufacturing via ubiquitous computing technology. International Journal of Computer Integrated Manufacturing, 21(5), 540–549.  https://doi.org/10.1080/09511920802023012.CrossRefGoogle Scholar
  48. Verl, A., Lechler, A., & Schlechtendahl, J. (2012). Glocalized cyber physical production systems. Production Engineering, 6(6), 643–649.  https://doi.org/10.1007/s11740-012-0418-2.CrossRefGoogle Scholar
  49. Wang, L., Törngren, M., & Onori, M. (2015). Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems 37 Part, 2, 517–527.  https://doi.org/10.1016/j.jmsy.2015.04.008.CrossRefGoogle Scholar
  50. Wang, X.-L., Chen, L.-N., & Huang, H.-B. (2010). A service-oriented architecture framework of cyber-physical systems. Journal of Computer Science Research and Development, 47(2), 299–303.Google Scholar
  51. Wikipedia. (2017). Cyber-physical system. http://en.wikipedia.org/wiki/Cyber-physical_system.
  52. Wolf, W. (2007). The good news and the bad news (embedded computing column). IEEE Computer, 40(11), 104–105.  https://doi.org/10.1109/MC.2007.404.CrossRefGoogle Scholar
  53. Xinhua (2015). China Focus: “Made in China 2025” plan unveiled to boost manufacturing. http://news.xinhuanet.com/english/2015-05/19/c_134252394.htm.
  54. Yao, X., Jin, H., & Zhang, J. (2015). Towards a wisdom manufacturing vision. International Journal of Computer Integrated Manufacturing, 28(12), 1291–1312.  https://doi.org/10.1080/0951192X.2014.972462.CrossRefGoogle Scholar
  55. Yao, X., Lian, Z., Yang, Y., Zhang, Y., & Jin, H. (2014a). Wisdom manufacturing: New humans-computers-things collaborative manufacturing model. Computer Integrated Manufacturing Systems, 20(6), 1490–1498.Google Scholar
  56. Yao, X., & Lin, Y. (2016). Emerging manufacturing paradigm shifts for the incoming industrial revolution. The International Journal of Advanced Manufacturing Technology, 85(5), 1665–1676.  https://doi.org/10.1007/s00170-015-8076-0.CrossRefGoogle Scholar
  57. Yao, X., Yu, M., Chen, Y., & Xiang, Z. (2014b). Connotation, architecture and key technologies of internet of manufacturing things. Computer Integrated Manufacturing Systems, 20(1), 1–10.Google Scholar
  58. Yao, X., Zhou, J., Zhang, C., & Liu, M. (2017a). Proactive manufacturing—a big-data driven emerging manufacturing paradigm. Computer Integrated Manufacturing Systems, 23(1), 172–185.Google Scholar
  59. Yao, X., Zhou, J., Zhang, J., & Boër, C. R. (2017b). From intelligent manufacturing to smart manufacturing for Industry 4.0 driven by next generation artificial intelligence and further On. In 2017 5th international conference on enterprise systems (ES), 22–24 Sept 2017 (pp. 311–318).  https://doi.org/10.1109/ES.2017.58.
  60. Zhang, Y., Ren, S., Liu, Y., & Si, S. (2017). A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products. Journal of Cleaner Production, 142, 626–641.  https://doi.org/10.1016/j.jclepro.2016.07.123.CrossRefGoogle Scholar
  61. Zhang, Y., Zhang, G., Wang, J., Sun, S., Si, S., & Yang, T. (2015). Real-time information capturing and integration framework of the internet of manufacturing things. International Journal of Computer Integrated Manufacturing, 28(8), 811–822.  https://doi.org/10.1080/0951192x.2014.900874.CrossRefGoogle Scholar
  62. Zhong, N., Ma, J. H., Huang, R. H., Liu, J. M., Yao, Y. Y., Zhang, Y. X., et al. (2013). Research challenges and perspectives on wisdom web of things (W2T). Journal of Supercomputing, 64(3), 862–882.CrossRefGoogle Scholar
  63. Zuehlke, D. (2010). SmartFactory–towards a factory-of-things. Annual Reviews in Control, 34(1), 129–138.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.School of Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhouChina
  2. 2.Intelligent Human Machine Systems Lab, Department of Mechanical and Industrial EngineeringNortheastern UniversityBostonUSA
  3. 3.Faculty of EngineeringUniversity of StrathclydeGlasgowUK
  4. 4.School of Computer Science and Network TechnologyDongguan University of TechnologyDongguanChina
  5. 5.Faculty of Science and TechnologyBournemouth University, PooleBournemouthUK
  6. 6.School of EngineeringUniversity of GlasgowGlasgowUK

Personalised recommendations