Skip to main content

Cooperation Mechanism Design in Cloud Manufacturing Under Information Asymmetry

  • Conference paper
  • First Online:
Data Science (ICPCSEE 2018)

Abstract

The paper proposed the overall optimization and innovation-driven strategy in industrial big data service system combined with the demand of wisdom cloud manufacturing chain. It provided a framework to systematically explore the relationships between enterprise as alliance leader and the union member in cloud manufacturing. It researched Bayesian Nash equilibrium under incomplete information condition which further implied that the incompleteness of information had an effect on the union member’s asking price. Thus it revealed a methodology to analyze the stability of Bayesian Nash equilibrium and gave a detailed algorithm. Though Bayesian Nash implementation, teams in industrial big data service system can work best under information asymmetry.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Xue, J.: Selection algorithm of virtual enterprise partner based on task-resource assignment graph. Int. J. Grid Distrib. Comput. 9(9), 185–192 (2016)

    Article  Google Scholar 

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

    Article  Google Scholar 

  3. Lyu, Y., Zhang, J.: Big-data-based technical framework of smart factory. Comput. Integr. Manufact. Syst. 22(11), 2691–2697 (2016)

    Google Scholar 

  4. Filipe, F., Ahm, S., Americo, A., et al.: Virtual enterprise process monitoring: an approach towards predictive industrial maintenance. Adv. Intell. Syst. Comput. 330(1), 285–291 (2015)

    Google Scholar 

  5. Benjamin, K., Michele, M., Klaus-Dieter, T.: Collaborative open innovation management in virtual manufacturing enterprises. Int. J. Comput. Integr. Manufact. 30(1), 158–166 (2017)

    Google Scholar 

  6. Zhang, W., Zhu, Y., Zhao, Y.: Fuzzy cognitive map approach for trust-based partner selection in virtual enterprise. J. Comput. Theor. Nanosci. 13(1), 349–360 (2016)

    Article  Google Scholar 

  7. Kang, H., Lee, J., Choi, S., et al.: Smart manufacturing: past research, present findings, and future directions. Int. J. Precis. Eng. Manufact. Green Technol. 3(1), 111–128 (2016)

    Article  Google Scholar 

  8. Kusiak, A.: Smart manufacturing must embrace big data. Nature 544(7648), 23–25 (2017)

    Article  Google Scholar 

  9. Zandieh, M., Adibi, M.: Dynamic job shop scheduling using variable neighbourhood search. Int. J. Prod. Res. 48(8), 2449–2458 (2010)

    Article  Google Scholar 

  10. Luo, Y.: A Course in Game Theory. Tsinghua University Press, China (2007)

    Google Scholar 

Download references

Acknowledgment

This work was supported by National Natural Science Foundation under Grant No. 51475265.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qihua Tian .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yu, H., Tian, Q. (2018). Cooperation Mechanism Design in Cloud Manufacturing Under Information Asymmetry. In: Zhou, Q., Gan, Y., Jing, W., Song, X., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-13-2203-7_37

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-2203-7_37

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2202-0

  • Online ISBN: 978-981-13-2203-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics