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Cluster Computing
Published in: Cluster Computing 3/2019

29-03-2018

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

Authors: Bo Yang, Yan’an Chen

Published in: Cluster Computing | Special Issue 3/2019

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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.
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Literature
1.
Liu, J.: China, Lian water Chinese manufacturing industry: current, challenges and trends. Science 4, 15–21 (2015)
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)
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)CrossRef
4.
Li, T.: Analysis of enterprise logistics outsourcing decision. Coop. Econ. Technol. 22(11), 118–120 (2016)
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)
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)
10.
Xu, G.: Decision model and simulation analysis of enterprise logistics outsourcing based on system dynamics. Hunan University, Hunan (2007)
11.
Zhao, Y., Guo, Y.: Classification and value creation of service derivatives in manufacturing enterprises. Soft Sci. 31(7), 103–107 (2017)
12.
Maraseo, A.: Third-party logistics: a literature review. Int. J. Prod. Econ. 113(1), 127–147 (2014)CrossRef
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)CrossRef
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)
15.
Xiao, Z.: GuChunlong research under asymmetric information logistics outsourcing incentive model. Zhongnan Univ. Technol. 5, 130–135 (2013)
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)
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)
18.
19.
Ye, J., Ding, Y.: Controllable keyword search scheme supporting multiple users. Future Gener. Comp. Syst. 81, 433–442 (2018)CrossRef
20.
21.
Wei, Q., Stone, L.: Evolution model of knowledge network structure based on small world network. Soft Sci. 31(7), 135–140 (2017)
22.
23.
Zhao, Zhuwen, Duan, X-y: Service quality game in logistics outsourcing management. Ind. Eng. 13, 45–48 (2010)
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)CrossRef
25.
Wilensky, U.: NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston (1999)
Metadata
Title
Evolution model and simulation of logistics outsourcing for manufacturing enterprises based on multi-agent modeling
Authors
Bo Yang
Yan’an Chen
Publication date
29-03-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2657-2

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