Skip to main content

Advertisement

Log in

Cloud-based smart manufacturing for personalized candy packing application

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

Industry 4.0 has been proposed to address personalized consumption demands by building cyber-physical production systems for smart manufacturing. Although cloud manufacturing and some integrated frameworks for smart factory have been presented in literatures, it still lacks industrial applications. In this paper, we use personalized candy packing application as a demonstration to illustrate our smart factory design. We first describe the component layers of the smart factory, i.e., physical devices, private cloud, client terminals, and network, to enable the smart factory to be integrated with other systems, such as banks and logistical network, to cope with personalized consumption demands. Then, we present a scheme for inter-layered interaction. As for the physical devices, we also design an intra-layered negotiation mechanism to implement dynamic reconfiguration, so that the system can support hybrid production of multi-typed products. Finally, we give experimental results to verify efficiency, self-organized process, and hybrid production paradigm of the proposed 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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Riedl M, Zipper H, Meier M, Diedrich C (2014) Cyber-physical systems alter automation architectures. Ann Rev Control 38(1):123–133

    Article  Google Scholar 

  2. Wan J, Yan H, Li D, Zhou K, Zeng L (2013) Cyber-physical systems for optimal energy management scheme of autonomous electric vehicle. Comput J 56(8):947–956

    Article  Google Scholar 

  3. 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. Accessed 20 Aug 2014

  4. Wang S, Wan J, Li D, Zhang C (2016) Implementing smart factory of industrie 4.0: an outlook. Int J Distrib Sens Netw 2016. doi:10.1155/2016/3159805

  5. Xu X (2012) From cloud computing to cloud manufacturing. Robot Comput Integr Manuf 28(1):75–86

    Article  Google Scholar 

  6. Wan J, Tang S, Yan H, Li D, Wang S, Vasilakos A (2016) Cloud robotics: current status and open issues. IEEE Access 4:2797–2807

    Article  Google Scholar 

  7. Wan J, Zhang D, Sun Y, Lin K, Zou C, Cai H (2014) VCMIA: a novel architecture for integrating vehicular cyber-physical systems and mobile cloud computing. Mobile Netw Appl 19(2):153–160

    Article  Google Scholar 

  8. Chen M, Mao S, Liu Y (2014) Big data: a survey. Mobile Netw Appl 19(2):171–209

    Article  Google Scholar 

  9. Chen F, Deng P, Wan J, Zhang D, Vasilakos A, Rong X (2015) Data mining for the internet of things: literature review and challenges. Int J Distrib Sensor Netw 2015. doi:10.1155/2015/431047

  10. Wang S, Wan J, Zhang C, Li D (2016) Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput Netw 101:158–168

    Article  Google Scholar 

  11. Balogun OO, Popplewell K (1999) Towards the integration of flexible manufacturing system scheduling. Int J Prod Res 37(15):3399–3428

    Article  MATH  Google Scholar 

  12. Priore P, de la Fuente D, Puente J, Parreño J (2006) A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems. Eng Appl Artif Intell 19(3):247–255

    Article  Google Scholar 

  13. Leitão P (2009) Agent-based distributed manufacturing control: a state-of-the-art survey. Eng Appl Artif Intell 22(7):979–991

    Article  MathSciNet  Google Scholar 

  14. Shen W, Hao Q, Yoon HJ, Norrie DH (2006) Applications of agent-based systems in intelligent manufacturing: an updated review. Adv Eng Inform 20(4):415–431

    Article  Google Scholar 

  15. Amazon elastic compute cloud. http://aws.amazon.com/ec2/. Accessed 12 Dec 2015

  16. Borthakur D, Gray J, Sarma JS, Muthukkaruppan K, Spiegelberg N, Kuang H, Schmidt R (2011) Apache Hadoop goes realtime at Facebook. In: Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data, ACM, pp 1071–1080

  17. Yerva SR, Jeung H, Aberer K (2012) Cloud based social and sensor data fusion. In: 15th International Conference on Information Fusion (FUSION), IEEE, pp 2494–2501

  18. Shvachko K, Kuang H, Radia S, Chansler R (2010) The hadoop distributed file system. In: 26th Symposium on Mass Storage Systems and Technologies (MSST), IEEE, pp 1–10

  19. Qiu M, Chun X, Shao Z, Zhuge Q, Liu M, Sha E (2006) Efficient algorithm of energy minimization for heterogeneous wireless sensor network. In: Proceedings of Embedded and Ubiquitous Computing, Springer, pp 25–34

  20. Zuehlke D (2010) Smart factory—towards a factory-of-things. Ann Rev Control 34(1):129–138

    Article  Google Scholar 

  21. Smart Manufacturing Leadership Coalition. https://smartmanufacturingcoalition.org/. Accessed 11 Nov 2015

  22. Li KQ (2015) Report on the work of the government. Delivered at the third session of the 12th National People’s Congress

  23. Digital Factory. http://www.siemens.com/about/en/businesses/digital-factory.htm. Accessed 10 Oct 2015

  24. The Connected Enterprise. http://www.rockwellautomation.com/global/innovation/connected-enterprise/overview.page?. Accessed 22 Dec 2015

  25. Li BH, Zhang L, Wang SL, Tao F, Cao JW, Jiang XD, Song X, Chai XD (2010) Cloud manufacturing: a new service-oriented networked manufacturing model. Comput Integr Manuf Syst 16(1):1–7

    Google Scholar 

  26. Tao F, Zhao D, Hu Y, Zhou Z (2008) Resource service composition and its optimal-selection based on particle swarm optimization in manufacturing grid system. IEEE Trans Indus Inform 4(4):315–327

    Article  Google Scholar 

  27. Laili Y, Tao F, Zhang L, Shark BR (2012) A study of optimal allocation of computing resources in cloud manufacturing systems. Int J Adv Manuf Technol 63(5–8):671–690

    Article  Google Scholar 

  28. Yao X, Yu M, Chen Y, Xiang Z (2014) Connotation, architecture and key technologies of internet of manufacturing things. Comput Integr Manuf Syst 20(1):1–10

    Google Scholar 

  29. Houyou AM, Huth HP, Trsek H, Kloukinas C, Rotondi D (2012) Agile manufacturing: General challenges and an IoT@ Work perspective. In: 17th Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, pp 1–7

  30. 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(7–8):752–764

    Article  Google Scholar 

  31. Zhong RY, Dai QY, Qu T, Hu GJ, Huang GQ (2013) RFID-enabled real-time manufacturing execution system for mass-customization production. Robot Comput Integr Manuf 29(2):283–292

    Article  Google Scholar 

  32. Smith RG (1980) The contract net protocol: high-level communication and control in a distributed problem solver. IEEE Trans Comput C 29(12):1104–1113

    Article  Google Scholar 

  33. Coffman EG, Elphick M, Shoshani A (1971) System deadlocks. ACM Comput Surv (CSUR) 3(2):67–78

    Article  MATH  Google Scholar 

Download references

Acknowledgments

This work was supported in part by the National Key Technology R&D Program of China (No. 2015BAF20B01), the Science and Technology Planning Project of Guangdong Province (Nos. 2016A010102008 and 2014B090921003), the Science and Technology Planning Project of Guangzhou City (Nos. 201508030007 and 201604010064), the Natural Science Foundation of Guangdong Province (nos. 2016A030313734 and 2016A030313735), and the Fundamental Research Funds for the Central Universities (No. 2015ZZ079). Imran’s work is supported by the Deanship of Scientific Research at King Saud University through Research group No. (RG # 1435-051).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiafu Wan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, S., Wan, J., Imran, M. et al. Cloud-based smart manufacturing for personalized candy packing application. J Supercomput 74, 4339–4357 (2018). https://doi.org/10.1007/s11227-016-1879-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-016-1879-4

Keywords

Navigation