Abstract
This paper presents an algorithm for forecasting co-opetition relationship between logistics nodes, and the achievements of this paper can provide a basis for governments and enterprises to develop their logistics strategic plans and adjust their logistics management strategies. A replicator dynamic model is built to determine the Evolutionary Stable Strategy (ESS) of the players as a preparation. According to the status of logistics nodes, an evolutionary game model is proposed. The result of case study reveals that the models provided in this paper have good practicability and accuracy in dealing with the relationship forecasting problems within a regional logistics network.
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References
Brandenburger AM, Nalebuff B (1996) Co-opetition. Bantam Doubleday Dell Publishing Group, New York, pp 11–39
Cleveland J, Ackleh AS (2013) Evolutionary game theory on measure spaces: well-posedness. Nonlinear Anal Real World Appl 14(1):785–797
Iannone F (2012) The private and social cost efficiency of port hinterland container distribution through a regional logistics system. Transp Res A Policy Pract 46(9):1424–1448
Liu MQ, Li G, Yao Q (2012) Flexibility value of node enterprise’s logistics capability in decentralized supply chain. J Converg Inf Technol 7(15):270–278
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© 2015 Springer-Verlag Berlin Heidelberg
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Wang, D., Lang, M. (2015). Co-opetition Relationship of Regional Logistics Nodes Based on Evolutionary Game Theory. In: Zhang, R., Zhang, Z., Liu, K., Zhang, J. (eds) LISS 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40660-7_199
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DOI: https://doi.org/10.1007/978-3-642-40660-7_199
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Online ISBN: 978-3-642-40660-7
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