SCIENTIA SINICA Informationis, Volume 48, Issue 7: 810-823(2018) https://doi.org/10.1360/N112018-00002

The optimization and upgrading of the collaborative relationship in “Internet +" manufacturing industry

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  • ReceivedJan 2, 2018
  • AcceptedMar 18, 2018
  • PublishedJul 20, 2018


The collaborative relationship in the “Internet +" manufacturing industry is a complex network. To grasp its inherent laws fully to realize the transformation and upgrading of the manufacturing industry integrated with Internet, a model of optimization and upgrading of the collaborative relationship in the `Internet + manufacturing industry, which is a closed-loop feedback control model under a control theory framework, is proposed. An evaluation index system based on the theory of the complex social networks was designed, and an empirical analysis based on the micro operation data of a large collaboration platform for the `Internet + manufacturing industry was done. The results show that `Internet + can significantly improve the quality of the manufacturing collaboration relationship and improve overall collaboration and innovation performance.

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  • Figure 1

    The control model of optimization and upgrading for the collaborative relationship in “Internet +" manufacturing industry

  • Figure 2

    (Color online) Network topology diagram. (a) Network 1; (b) network 2; (c) network 3

  • Figure 3

    (Color online) Distribution of the shortest path could be reached

  • Figure 4

    (Color online) Power distribution of the closeness centrality of the network. (a) Normalized closeness centrality (in); (b) normalized closeness centrality (out)

  • Figure 5

    (Color online) Bonacich power. (a) Bonacich power (in) with $\beta<$ 0; (b) Bonacich power (out) with $\beta<$ 0

  • Figure 6

    (Color online) Statistics information of transaction by geographic location. Transaction number (a) and transaction growth (b) with respect to geographic location

  • 1   Table 1The characteristics of paradigm, means and ecosystem of each stage in the evolutionary path
    (1) Local inter-connected business network (2) Comprehensive interconnected commercial network (3) Open self-organizing innovation network
    Paradigm: Networked manufacturing (collaboration from off-line to on-line) Service-oriented manufacturing (horizontal optimization of the value chain) Mass customization (user-centered collaborative innovation)
    Means: Enhance the efficiency of all kinds of collaboration and enhance the connection capability of nodes Provide full connectivity and promote equal opportunities between nodes Enhancing openness and resource sharing on demand and promote the cross “reaction"
    Ecosystem: Local inter-connected, collaborative relationship is fixing and stable Comprehensive interconnected, vertical cooperation and horizontal competition in value chain, flexible Factor composition on demand, innovation ability upgrade, more flexible
  • 2   Table 2Average length of shortest network path
    Network Average length of shortest network path
    Network 1 6.4
    Network 2 4.7
    Network 3 4.1
  • 3   Table 3Average intensity of the network node
    Network Average intensity of the network node
    Network 1 2.8667
    Network 2 11.1579
    Network 3 15.6990
  • 4   Table 4Index of small-world features of network
    Network Weighted clustering coefficient Small-world entropy
    Network 1 0.019 1.870
    Network 2 0.995 1714.787
    Network 3 0.656 504
  • 5   Table 5Network density
    Network Network density
    Network 1 0.00009874
    Network 2 0.00102201
    Network 3 0.00196813
  • 6   Table 6Central potential of the closeness centrality and the eigenvector
    Network Central potential of Central potential of Central potential of Central potential
    the closeness the closeness the closeness of the eigenvector
    centrality (in)centrality (out)centrality (total)
    Network 1 0.2633 0.02267 17.2707 108.198
    Network 2 0.4354 0.03841 266.1177 91.865
    Network 3 0.7805 0.04055 652.0498 91.452

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