Abstract
Supply chain network is a complex giant system, and its complexity is determined by the structure of network. Empirical studies have been shown: the supply chain network had the scale-free and cluster characteristics, but today supply chain network models could not describe cluster characteristic of real network. This paper introduced a concept of path, and presentes a supply chain network model DPPA, which based on path and degree preferential attachment mechanism. This model depictes the scale-free feature of supply chain network, while also reflecting the cluster characteristic. The average cluster coefficient of this model with 5000 vertices in the network reached 0.5754, which can be controlled by the adjusting parameters of DPPA model.
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References
Fu, R.L., Michael, J.S.: Reengineering the Order Fulfillment Process in Supply Chain Networks. The International Journal of Flexible Manufacturing Systems 10, 197–229 (1998)
Amit, S., Soundar, K., Mark, G., et al.: Supply chain networks: a complex adaptive systems perspective. International Journal of Production Research 43(20), 4235–4265 (2005)
Barabasi, A.L., Bonabeau, E.: Scale - free networks. Scientific American 5(1), 60–69 (2003)
Newman, M.E.J.: The structure and function of complex networks. SIAM Review 45(2), 167–256 (2003)
Helbing, D.: Information and material flows in complex networks. Physica A 363(1), 6–16 (2006)
Kuhnert, C., Helbing, D.: Scaling laws in urban supply networks. Physica A 363(1), 89–95 (2006)
Thadakamalla, H.P., Raghavan, U.N., Kumara, S., et al.: Survivability of multiagent based supply networks: a topological perspective. Intelligent Systems and Their Applications 19(5), 24–31 (2004)
Snyder, L.V., Daskin, M.S.: Reliability models for facility location: The expected failure costcase. Transportation Science 39(3), 400–416 (2005)
Zhang, J.Y., Xu, J.Q.: Study on Complex Network Model for Adaptive Supply Chains. Chinese Journal of Management Science 17(2), 76–79 (2009)
Yu, H.S., Zhao, L.D., Lai, X.H.: Trade Quantity-Based Supply Chains Networks Evolving Model. Chinese Journal of Management 6(2), 187–191 (2009)
Qi, X., Yanjun, L., Tiejun, W.: A local2world network model based on inter-node correlation degree. Physica A 378, 561–572 (2007)
Harland, C.M., Lamming, R.C.: Developing the Concept of Supply Strategy. International Journal of Operations and Productions Management 19(6), 650–673 (1999)
Barabasi, A.L., Albert, R.: Emergence of scaling in random network. Science 286(5439), 509–512 (1999)
Holme, P., Kim, B.J., Yoon, C.N., et al.: Attack vulnerability of complex networks. Phys. Rev. EÂ 65(5), 056109 (2002)
Nakano, T., White, D.R.: Network Structures in Industrial Pricing: The Effect of Emergence Roles in Tokyo Supplier-Chain Hierarchies. Structure and Dynamics 2(3), 130–154 (2007)
Li, J.M., Zhang, N.: Analysis to Competition Network Topological Structure of Automotive Components Enterprises in China. Complex Systems and Complexity Science 5(2), 72–78 (2008)
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Fu, P., Liu, Y. (2011). An Supply Chain Network Evolving Model Based on Preferential Attachment of Path and Degree. In: Jiang, L. (eds) Proceedings of the 2011 International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19-20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25185-6_23
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DOI: https://doi.org/10.1007/978-3-642-25185-6_23
Publisher Name: Springer, Berlin, Heidelberg
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