Skip to main content

Advertisement

Log in

Digital twin-based smart production management and control framework for the complex product assembly shop-floor

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Digital twin technology is considered as a key technology to realize cyber-physical systems (CPS). However, due to the complexity of building a digital equivalent in virtual space to its physical counterpart, very little progress has been achieved in digital twin application, especially in the complex product assembly shop-floor. In this paper, we propose a framework of digital twin-based smart production management and control approach for complex product assembly shop-floors. Four core techniques embodied in the framework are illustrated in detail as follows: (1) real-time acquisition, organization, and management of the physical assembly shop-floor data, (2) construction of the assembly shop-floor digital twin, (3) digital twin and big data-driven prediction of the assembly shop-floor, and (4) digital twin-based assembly shop-floor production management and control service. To elaborate how to apply the proposed approach to reality, we present detailed implementation process of the proposed digital twin-based smart production management and control approach in a satellite assembly shop-floor scenario. Meanwhile, the future work to completely fulfill digital twin-based smart production management and control concept for complex product assembly shop-floors are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Miyazaki S (1981) Combined scheduling system for reducing job tardiness in a job shop. Int J Prod Res 19(2):201–211

    Article  Google Scholar 

  2. Cox JF, Adams FP (1980) Manufacturing resource planning: an integrated decision-support system. J Simul 35(3):73–79

    Article  Google Scholar 

  3. Ugarte BS, Artiba A, Pellerin R (2009) Manufacturing execution system—a literature review. Prod Plan Control 20(6):525–539. https://doi.org/10.1080/09537280902938613

    Article  Google Scholar 

  4. MESA International (1997) White paper number 5: execution-driven manufacturing management for competitive advantage. MESA International

  5. MESA International (1997) White paper number 2: MES functionalities & MRP to MES data flow possibilities. MESA International

  6. Huang HH (2002) Integrated production model in agile manufacturing systems. Int J Adv Manuf Technol 20:515–525

    Article  Google Scholar 

  7. MESA (2004) Collaborative manufacturing explained. MESA International White Paper, Pittsburgh

    Google Scholar 

  8. Lee J (2003) E-manufacturing systems: fundamental and tools. Robot Comput Interg Manuf 9(6):501–507

    Article  Google Scholar 

  9. Lou P, Zhou ZD, Chen YP, Ai W (2004) Study on multi-agent-based agile supply chain management. Int J Adv Manuf Technol 23:197–203. https://doi.org/10.1007/s00170-003-1626-x

    Article  Google Scholar 

  10. Tang XQ, Lu QL (2002) Intranet/Extranet/Internet-based quality information management system in expanded enterprises. Int J Adv Manuf Technol 20:853–858

    Article  Google Scholar 

  11. Coalition S M L (2011) Implementing 21st century smart manufacturing: workshop summary report

  12. Tao F, Zhang M, Cheng JF, Qi QL (2017) Digital twin workshop: a new paradigm for future workshop. Comput Integr Manuf Syst 23(1):1–9

    Google Scholar 

  13. Huang GQ, Wright P, Newman S (2009) Wireless manufacturing: a literature review, recent development, and case studies. Int J Comput Integr Manuf 22(7):1–16

    Google Scholar 

  14. Zhang L, Luo YL, Tao F, Li BH, Ren L, Zhang XS, Guo H, Cheng Y, Hu AR, Liu YK (2014) Cloud manufacturing: a new manufacturing paradigm. Enterp Inf Syst-UK 8(2):167–187. https://doi.org/10.1080/17517575.2012.683812

    Article  Google Scholar 

  15. Qu T, Lei SP, Wang ZZ, Nie DX, Chen X, Huang GQ (2016) IoT-based real-time production logistics synchronization system under smart cloud manufacturing. Int J Adv Manuf Technol 84:147–164. https://doi.org/10.1007/s00170-015-7220-1

    Article  Google Scholar 

  16. Yao XF, Jin H, Zhang J (2015) Towards a wisdom manufacturing vision. Int J Comput Integr Manuf 28(12):1291–1312. https://doi.org/10.1080/0951192X.2014.972462

    Article  Google Scholar 

  17. Yao XF, Zhou JJ, Zhang CJ, Liu M (2017) Proactive manufacturing: a big-data based emerging manufacturing paradigm. Comput Integr Manuf Syst 23(1):172–185

    Google Scholar 

  18. Zhuang CB, Liu JH, Xiong H, Ding XY, Liu SL, Weng G (2017) Connotation, architecture and trends of product digital twin. Comput Integr Manuf Syst 23(4):753–768

    Google Scholar 

  19. Rosen R, Wichert GV, Lo G, Bettenhausen KD (2015) About the importance of autonomy and digital twins for the future of manufacturing. IFAC-Papers on Line 48(3):567–572

    Article  Google Scholar 

  20. Grieves M (2014) Digital twin: manufacturing excellence through virtual factory replication. www.apriso.com/library/Whitepaper_Dr_Grieves_DigitalTwin_ManufacturingExcellence.php

  21. Grieves M (2005) Product lifecycle management: the new paradigm for enterprises. Int J Prod Dev 2(1/2):71–84

    Article  Google Scholar 

  22. Grieves M (2006) Product lifecycle management: driving the next generation of lean thinking. McGraw-Hill, New York

    Google Scholar 

  23. Grieves M (2011) Virtually perfect: driving innovative and lean products through product lifecycle management. Space Coast Press, Cocoa Beach, FL

    Google Scholar 

  24. Grieves M, Vickers J (2017) Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. Trans-disciplinary perspectives on complex systems. Berlin: Springer-Verlag

  25. Glaessgen EH, Stargel DS (2012) The digital twin paradigm for future NASA and US air force vehicles. 53rd Structures, Structural Dynamics and Materials Conference. Special Session: Digital Twin, Honolulu, HI, 1–14

  26. Shafto M, Conroy M, Doyle R, Glaessgen E, Kemp C, LeMoigne J, Wang L (2012) Modeling, simulation, information technology & processing roadmap. NASA, Washington, DC, USA, Tech. Rep, 11

  27. Tuegel EJ, Ingraffea AR, Eason TG, Spottswood SM (2011) Reengineering aircraft structural life prediction using a digital twin. Int J Aerospace Eng doi:https://doi.org/10.1155/2011/154798

  28. Tuegel EJ (2012) The airframe digital twin: some challenges to realization. 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural, Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA 1812

  29. Reifsnider K, Majumdar P (2013) Multi-physics stimulated simulation digital twin methods for fleet management. 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Co-located Conferences, AIAA 1578

  30. Cerrone A, Hochhalter J, Heber G, Ingraffea A (2014) On the effects of modeling as-manufactured geometry: toward digital twin. Int J Aerospace Eng doi:https://doi.org/10.1155/2014/439278

  31. Warwick G (2015) GE advances analytical maintenance with digital twins. Aviat Week & Space Technol:10–19

  32. Boschert S, Rosen R (2016) Digital twin—the simulation aspect//mechatronic future. Springer-Verlag, Berlin

    Google Scholar 

  33. DebRoy T, Zhang W, Turner J, Babu SS (2016) Building digital twins of 3D printing machines. Scripta Mater doi:https://doi.org/10.1016/j.scriptamat.2016.12.005

  34. Schroeder G, et al. (2016) Visualizing the digital twin using web services and augmented reality. Proceedings of the INDIN 2016 I.E. International Conference on Industrial Informatics, 522-527

  35. Tao F, Cheng J, Qi Q, Zhang M, Zhang H, Sun S (2017) Digital twin-based product design, manufacturing and service with big data. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-017-0233-1

  36. Stark R, Kind S, Neumeyer S (2017) Innovations in digital modeling for next generation manufacturing system design. CIRP Ann-Manuf Tech doi: https://doi.org/10.1016/j.cirp.2017.04.045

  37. Tao F, Zhang M (2017) Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing. IEEE Access doi:https://doi.org/10.1109/ACCESS.2017.2756069

  38. Chen M, Mao S, Liu Y (2014) Big data: a survey. Mobile Netw Appl 19:171–209. https://doi.org/10.1007/s11036-013-0489-0

    Article  Google Scholar 

  39. Liu JH, Bai SQ, Duan H, Ning RX, Yuan K, Zhang JP, Wu YL (2009) Computer aided assembly process control method for manual assembly. Comput Integr Manuf Syst 15(12):2391–2398

    Google Scholar 

  40. Zhuang CB, Liu JH, Xiong H, Weng G, Tang CT (2017) Assembly shop-floor dynamic and real-time visual monitoring system for complex product. Comput Integr Manuf Syst 23(6):1264–1276

    Google Scholar 

  41. Zhang YY, Zhang G, Wang JQ, Sun SS, Si SB, Yang T (2015) Real-time information capturing and integration framework of the internet of manufacturing things. Int J Comput Integr Manuf 28(8):811–822. https://doi.org/10.1080/0951192X.2014.900874

    Article  Google Scholar 

  42. Zhou GH, Xiao ZD, Jiang PY, Zhang YY (2011) A radio frequency identification based optimal material delivery method for digital plant production. Int J Comput Integr Manuf 24(5):493–505. https://doi.org/10.1080/0951192X.2011.554870

    Article  Google Scholar 

  43. Huang GQ, Zhang YF, Jiang PY (2008) RFID-based wireless manufacturing for real-time management of job shop WIP inventories. Int J Adv Manuf Technol 36:469–477. https://doi.org/10.1007/s00170-006-0897-4

    Article  Google Scholar 

  44. Oner M, Ustundag A, Budak A (2017) An RFID-based tracking system for denim production processes. Int J Adv Manuf Technol 90:591–604. https://doi.org/10.1007/s00170-016-9385-7

    Article  Google Scholar 

  45. Lv YQ, Lee CKM, Chan HK, Ip WH (2012) RFID-based colored Petri net applied for quality monitoring in manufacturing system. Int J Adv Manuf Technol 60:225–236. https://doi.org/10.1007/s00170-011-3568-z

    Article  Google Scholar 

  46. Ramadan M, Al-Maimani H, Noche B (2017) RFID-enabled smart real-time manufacturing cost tracking system. Int J Adv Manuf Technol 89:969–985. https://doi.org/10.1007/s00170-016-9131-1

    Article  Google Scholar 

  47. Huang GQ, Zhang YF, Chen X, Newman ST (2008) RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control. J Intell Manuf 19(6):701–713

    Article  Google Scholar 

  48. Zhang YY, Huang GQ, Qu T, Ho O, Sun S (2011) Agent-based smart objects management system for real-time ubiquitous manufacturing. Robot Comput Interg Manuf 27:538–549. https://doi.org/10.1016/j.rcim.2010.09.009

    Article  Google Scholar 

  49. Zhang YY, Qu T, Oscar KH, Huang GQ (2011) Agent-based Smart Gateway for RFID-enabled real-time wireless manufacturing. Int J Prod Res 49(5):1337–1352. https://doi.org/10.1080/00207543.2010.518743

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to express their sincere gratitude to the anonymous reviewers for the invaluable comments and suggestions that have improved the quality of the paper. We also wish to thank Professor Chengtong Tang for his helpful comments on the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hui Xiong.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhuang, C., Liu, J. & Xiong, H. Digital twin-based smart production management and control framework for the complex product assembly shop-floor. Int J Adv Manuf Technol 96, 1149–1163 (2018). https://doi.org/10.1007/s00170-018-1617-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-018-1617-6

Keywords

Navigation