Skip to main content
Log in

An advanced IoT system for assisting ubiquitous manufacturing with 3D printing

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

Abstract

An advanced Internet-of-things (IoT) system for assisting ubiquitous manufacturing with three-dimensional (3D) printing was designed. The system receives orders from customers on the move online and then distributes the required pieces to nearby 3D printing facilities. After the printing is completed, a freight truck visits the printing facilities sequentially to collect the printed pieces. To minimize the cycle time for delivering the order, an optimization approach that combines workload balancing and finding the shortest delivery path was proposed in this study. However, the optimization problem remained difficult; to solve this, an algorithm was developed. The effectiveness of the proposed methodology was assessed through an experiment conducted in Taichung City, Taiwan. According to the experimental results, the proposed methodology outperforms two existing methods by reducing the cycle times by an average of 33%. It also successfully balances the workloads of the 3D printing facilities, incentivizing these facilities to join the system.

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. Petersen EE, Pearce J (2017) Emergence of home manufacturing in the developed world: return on investment for open-source 3-D printers. Technologies 5:7

    Article  Google Scholar 

  2. Thomas DJ (2018) Developing nanocomposite 3D printing filaments for enhanced integrated device fabrication. Int J Adv Manuf Technol 95(9–12):4191–4198

    Article  Google Scholar 

  3. Wang YC, Chen T, Yeh YL (2018) Advanced 3D printing technologies for the aircraft industry: a fuzzy systematic approach for assessing the critical factors. Int J Adv Manuf Technol 1–11. https://doi.org/10.1007/s00170-018-1927-8

  4. Chen T, Lin Y-C (2017) Feasibility evaluation and optimization of a smart manufacturing system based on 3D printing. Int J Intell Syst 32:394–413

    Article  Google Scholar 

  5. Schubert C, Van Langeveld MC, Donoso LA (2014) Innovations in 3D printing: a 3D overview from optics to organs. Br J Ophthalmol 98(2):159–161

    Article  Google Scholar 

  6. Chen T, Tsai H-R (2017) Ubiquitous manufacturing: current practices, challenges, and opportunities. Robot Comput Integr Manuf 45:126–132

    Article  Google Scholar 

  7. Rengier F, Mehndiratta A, Von Tengg-Kobligk H, Zechmann CM, Unterhinninghofen R, Kauczor HU, Giesel FL (2010) 3D printing based on imaging data: review of medical applications. Int J Comput Assist Radiol Surg 5(4):335–341

    Article  Google Scholar 

  8. Chia HN, Wu BM (2015) Recent advances in 3D printing of biomaterials. J Biol Eng 9(1):4

    Article  Google Scholar 

  9. Kim H, Lin Y, Tseng TLB (2018) A review on quality control in additive manufacturing. Rapid Prototyp J 24(3):645–669

    Article  Google Scholar 

  10. Wu HC, Chen TCT (2018) Quality control issues in 3D-printing manufacturing: a review. Rapid Prototyp J 24(3):607–614

    Article  Google Scholar 

  11. Xu M, Li M, Xu W, Deng Z, Yang Y, Zhou K (2016) Interactive mechanism modeling from multi-view images. ACM Trans Graph 35(6):236

    Google Scholar 

  12. Ko E, Kim T, Kim H (2018) Management platform of threats information in IoT environment. J Ambient Intell Humaniz Comput 9(4):1167–1176

  13. Ryoo I, Sun K, Lee J, Kim S (2018) A 3-dimensional group management MAC scheme for mobile IoT devices in wireless sensor networks. J Ambient Intell Humaniz Comput: 9(4)1223–1234

  14. Yoo B, Ko H, Chun S (2016) Prosumption perspectives on additive manufacturing: reconfiguration of consumer products with 3D printing. Rapid Prototyp J 22(4):691–705

    Article  Google Scholar 

  15. Lee TR, Ueng JH (1999) A study of vehicle routing problems with load-balancing. Int J Phys Distrib Logist Manag 29(10):646–657

    Article  Google Scholar 

  16. Zhu D, Huang H, Yang SX (2013) Dynamic task assignment and path planning of multi-AUV system based on an improved self-organizing map and velocity synthesis method in three-dimensional underwater workspace. IEEE Trans Cybern 43(2):504–514

    Article  Google Scholar 

  17. Guo L, Qiu J (2018) Combination of cloud manufacturing and 3D printing: research progress and prospect. Int J Adv Manuf Technol 96(5–8):1929–1942

    Article  Google Scholar 

  18. Chen T, Wu H-C (2013) Finding the just-in-time service location and path in a ubiquitous service network. Int J Internet Manuf Serv 3(2):137–147

    Google Scholar 

  19. Fang J, Huang GQ, Li Z (2013) Event-driven multi-agent ubiquitous manufacturing execution platform for shop floor work-in-progress management. Int J Prod Res 51(4):1168–1185

    Article  Google Scholar 

  20. Zhong RY, Huang GQ, Lan S, Dai QY, Zhang T, Xu C (2015) A two-level advanced production planning and scheduling model for RFID-enabled ubiquitous manufacturing. Adv Eng Inform 29(4):799–812

    Article  Google Scholar 

  21. Lin Y-C, Chen T (2017) A ubiquitous manufacturing network system. Robot Comput Integr Manuf 45:157–167

    Article  Google Scholar 

  22. Karlof JK (2006) Integer programming: theory and practice. CRC Press, Boca Raton

    MATH  Google Scholar 

  23. Cherkassky BV, Goldberg AV, Radzik T (1994) Shortest paths algorithms: theory and experimental evaluation. ACM-SIAM Symposium on Discrete Algorithms, p 516–525

  24. Deng Y, Chen Y, Zhang Y, Mahadevan S (2012) Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment. Appl Soft Comput 12:1231–1237

    Article  Google Scholar 

  25. Majumder S, Kar S (2018) Multi-criteria shortest path for rough graph. J Ambient Intell Humaniz Comput 9(6):1835–1859

  26. Dijkstra EW (1959) A note on two problems in connexion with graphs. Numer Math 1:269–271

    Article  MathSciNet  MATH  Google Scholar 

  27. Chen T-CT, Lin YC (2019) A three-dimensional-printing-based agile and ubiquitous additive manufacturing system. Robot Comput Integr Manuf 55:88–95

    Article  Google Scholar 

  28. Cherdo L (2019) The best metal 3D printers in 2019. https://www.aniwaa.com/best-of/3d-printers/best-metal-3d-printer/. Accessed 21 Mar 2019

  29. Chen T, Wang Y-C (2016) Estimating simulation workload in cloud manufacturing using a classifying artificial neural network ensemble approach. Robot Comput Integr Manuf 38:42–51

    Article  Google Scholar 

  30. Xu ML, Gu NB, Xu WW, Li MY, Xue JX, Zhou B (2017) Mechanical assembly packing problem using joint constraints. J Comput Sci Technol 32(6):1162–1171

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu-Cheng Wang.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, T., Wang, YC. An advanced IoT system for assisting ubiquitous manufacturing with 3D printing. Int J Adv Manuf Technol 103, 1721–1733 (2019). https://doi.org/10.1007/s00170-019-03691-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-019-03691-5

Keywords

Navigation