Skip to main content

Advertisement

SpringerLink
Log in

Evolution model and simulation of logistics outsourcing for manufacturing enterprises based on multi-agent modeling

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

The outsourcing of manufacturing enterprises can effectively enhance core competitiveness and respond to market quickly with the help of third-party logistics enterprises. Based on the theory of evolutionary game theory, this paper establishes the payment matrix of logistics outsourcing cooperation between manufacturing enterprises and third-party logistics enterprises, and then makes dynamic analysis of outsourcing to obtain the evolutionary stability strategy. Using multi-agent establishes simulation model on NetLogo simulation platform and combining reality of reality into the numerical simulation analysis. Combination of theory and Practice analyze logistics outsourcing of manufacturing enterprise. Finally, according to the model simulation results, manufacturing enterprises and third-party logistics enterprises are proposed to improve measures to promote the joint development of manufacturing enterprises and third-party logistics enterprises.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Liu, J.: China, Lian water Chinese manufacturing industry: current, challenges and trends. Science 4, 15–21 (2015)

    Google Scholar 

  2. Chu, M.: Imbalance of manufacturing structure and loss of total factor productivity: empirical analysis based on the data of industrial enterprises in China. Soft Sci. 31(81), 13–18 (2017)

    Google Scholar 

  3. Işıklar, G., Alptekin, E., Büyüközkan, G.: Application of a hybrid intelligent decision support model in logistics outsourcing. Comput. Oper. Res. 34(12), 3701–3714 (2007)

    Article  Google Scholar 

  4. Li, T.: Analysis of enterprise logistics outsourcing decision. Coop. Econ. Technol. 22(11), 118–120 (2016)

    Google Scholar 

  5. Guangdong-coated strict Gu angle manufacturing companies choose TPL cooperation incentives game analysis. Technol. Manag. 17, 70–74 (2015)

  6. Chang, K.: Research on logistics outsourcing decision of enterprise. Enterp. Strateg. 10, 16–19 (2016)

    Google Scholar 

  7. Xiangli. Risk evaluation and control of enterprise logistics outsourcing—based on AHP fuzzy comprehensive evaluation method. Enterp. Econ. 72–75 (2015)

  8. Zhao. B.: Contract Research. Fourth Incentive-Based Outsourcing Gradient Effect. Hebei Province, Yanshan University, 2015

  9. Yan, Y.: Logistics outsourcing decision model and simulation analysis of small and medium enterprises based on system dynamics. Technol. Method 35(5), 365–368 (2012)

    Google Scholar 

  10. Xu, G.: Decision model and simulation analysis of enterprise logistics outsourcing based on system dynamics. Hunan University, Hunan (2007)

    Google Scholar 

  11. Zhao, Y., Guo, Y.: Classification and value creation of service derivatives in manufacturing enterprises. Soft Sci. 31(7), 103–107 (2017)

    Google Scholar 

  12. Maraseo, A.: Third-party logistics: a literature review. Int. J. Prod. Econ. 113(1), 127–147 (2014)

    Article  Google Scholar 

  13. Alp, O., Erkip, K.N.K., Gullu, R.: Outsourcing logistics: designing transportation contracts between a manufacturer and a transporter. Transp. Sci. 37(1), 23–39 (2013)

    Article  Google Scholar 

  14. Yang, L., Qian, L.: Cooperation based on asymmetric information between manufacturing enterprises and third-party service providers game analysis. Logist. Technol. 33(11), 232–235 (2014)

    Google Scholar 

  15. Xiao, Z.: GuChunlong research under asymmetric information logistics outsourcing incentive model. Zhongnan Univ. Technol. 5, 130–135 (2013)

    Google Scholar 

  16. Yiqun, D., Yang, L.: Game analysis of manufacturing enterprises and third party service providers based on asymmetric information. Logist. Technol. 33(11), 232–235 (2014)

    Google Scholar 

  17. Wu, S., He, J.: The causes and contagion of stock market risk: a multi-agent based simulation study. J. Dalian Univ. Technol. 36(3), 54–60 (2015)

    Google Scholar 

  18. An introduction to agent based modeling and simulation of social processes [EB/OL].[2011-04-20], Zagreb, Croatia. http://arxiv.org/ftp/cond-mat/pa-pers/0409/0409312.pdf

  19. Ye, J., Ding, Y.: Controllable keyword search scheme supporting multiple users. Future Gener. Comp. Syst. 81, 433–442 (2018)

    Article  Google Scholar 

  20. Osanaiye, O.A., Cai, H., Choo, K.R., Dehghantanha, A., Xu, Z., Dlodlo, M.E.: Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing. EURASIP J. Wirel. Commun. Netw. (2016). https://doi.org/10.1186/s13638-016-0623-3

    Article  Google Scholar 

  21. Wei, Q., Stone, L.: Evolution model of knowledge network structure based on small world network. Soft Sci. 31(7), 135–140 (2017)

    Google Scholar 

  22. Netlogo [EB/0L], 20 April 2011. http://ccl.northwestern/nefl090

  23. Zhao, Zhuwen, Duan, X-y: Service quality game in logistics outsourcing management. Ind. Eng. 13, 45–48 (2010)

    Google Scholar 

  24. Logenthiran, T., Strinivasan, D., Khambadkone, A.M.: Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system. Electr. Pow. Syst. Res. 81(1), 138–148 (2011)

    Article  Google Scholar 

  25. Wilensky, U.: NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston (1999)

    Google Scholar 

Download references

Acknowledgements

This work was financially supported by the National Natural Science Foundation project (71640022 and 71361011), the Jiangxi Province Social Science “Twelfth Five Year Plan” project (15TQ04).

Author information

Authors and Affiliations

  1. JiangXi University of Finance, Economics of Information Management, Nanchang, China

    Bo Yang & Yan’an Chen

Authors
  1. Bo Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yan’an Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bo Yang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, B., Chen, Y. Evolution model and simulation of logistics outsourcing for manufacturing enterprises based on multi-agent modeling. Cluster Comput 22 (Suppl 3), 6807–6815 (2019). https://doi.org/10.1007/s10586-018-2657-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-018-2657-2

Keywords

Search

Navigation