Chinese Physics B, Volume. 29, Issue 8, (2020)

Manufacturing enterprise collaboration network: An empirical research and evolutionary model

Ji-Wei Hu1,2, Song Gao1,2, Jun-Wei Yan1,2, Ping Lou1,2、†, and Yong Yin1
Author Affiliations
  • 1School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
  • 2Hubei Key Laboratory of Broadband Wireless Communication and Sensor, Wuhan University of Technology, Wuhan 430070, China
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    Figures & Tables(13)
    Bipartite network structure.
    MECN visualization. Red nodes are OEMs and blue nodes are part suppliers.
    MLE fit of degree distribution of (a) OEMs and (b) part suppliers.
    Degree correlation in one-mode projection network on (a) OEMs and (b) part suppliers.
    MECN evolutionary model construction process.
    MECN evolutionary model visualization. Red nodes are OEMs and blue nodes are part suppliers.
    Distributions of the evolutionary model (blue), compared with empirical network (red) and the degree-based model (green), showing (a) the degree distribution of OEMs, and (b) degree distribution of part suppliers.
    • Table 1. Information about part suppliers (a portion).

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      Table 1. Information about part suppliers (a portion).

      NoPart suppliersFound yearLocationRegistered capitalNumber of intellectual propertiesNumber of risk warnings
      1Guangzhou Qicheng Auto Parts Co., Ltd.2013Guangdong2.0 × 106 CNY16
      2Shenyang Pinghe Valeo Automotive Transmission System Co., Ltd.2013Liaoning3.5 × 107 USD164
      3Shanxi Zhongjin Industrial Machinery Co., Ltd.1996Shanxi8.0 × 106 CNY291
      4Conde Ryan electromagnetic technology (China) co., Ltd.2005Jiangsu9.8 × 106 EUR230
      5Shanghai saks powertrain components system co., Ltd.2001Shanghai1.4 × 107 USD894
    • Table 2. Topological properties of empirical MECN.

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      Table 2. Topological properties of empirical MECN.

      Topological propertiesResult
      OEMs245
      Part suppliers6790
      Edges20938
      Part suppliers per OEM85.46
      OEMs per part suppliers3.08
      Average path length L3.755
      Clustering coefficient c0.253
      Assortativity coefficient r−0.480
      (one-mode projection on OEMs)−0.231
      Assortativity coefficient rM
      (one-mode projection on part suppliers)−0.021
      Assortativity coefficient rS
      OEM degreeMax: 963 and Min: 1
      Part supplier degreeMax: 23 and Min: 1
    • Table 3. Degree distribution fitting results of empirical MECN.

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      Table 3. Degree distribution fitting results of empirical MECN.

      Distributionp(k)D (OEM)D (part supplier)
      Power lawkα0.21070.1309
      Truncated power lawkαeαk0.05450.0372
      Exponentialeλk0.32600.0301
      Stretched exponential(λk)β – 1e−(λk)β0.06490.0203
    • Table 4. Notations used in evolutionary model.

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      Table 4. Notations used in evolutionary model.

      NotationMeaning
      ttime step of evolution
      u0,v0,e0initial number of OEM nodes, part supplier nodes, and edges respectively
      enumber of edges
      nM,nS,nEmaximum number of OEM nodes, part supplier nodes, and edges respectively
      ki,kjdegree of nodes i and j respectively
      fi,fjfitness of nodes i and j calculated by the entropy-TOPSIS method respectively
      dmax_s, dmax_mmaximum number of part supplier nodes that OEM nodes can connect with
      maximum number of OEM nodes that part supplier nodes can connect with
      Sijprobability of successful connection between nodes i and j
      qparameter that affects where the link is deleted (from local-world or global network)
      Qiprobability of being selected as local-world network for node i
    • Table 5. Results of topological properties.

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      Table 5. Results of topological properties.

      Topological propertiesEmpirical networkEvolutionary modelDegree-based model
      OEMs245245245
      Part suppliers679067906790
      Edges209382093820938
      Part suppliers per OEM85.4685.4685.46
      OEMs per part supplier3.083.083.08
      Average path length L3.7553.760 ± 0.0153.854 ± 0.015
      Clustering coefficient c0.2530.224 ± 0.0020.219 ± 0.02
      Assortativity coefficient r−0.480−0.417 ± 0.030−0.534 ± 0.040
      Assortativity coefficient rM−0.231−0.265 ± 0.020−0.203 ± 0.020
      (one-mode projection on OEMs)
      Assortativity coefficient rS−0.021−0.044 ± 0.015−0.034 ± 0.015
      (one-mode projection on part suppliers)
      OEM degreeMax: 963 Min: 1Max: 949 ± 1 Min: 1Max: 600 ± 150 Min: 1
      Part supplier degreeMax: 23 Min: 1Max: 22 ± 2 Min: 1Max: 21 ± 2 Min: 1
    • Table 6. RMSD results of topological properties.

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      Table 6. RMSD results of topological properties.

      Topological propertiesEvolutionary modelDegree-based model
      Average path length L0.0210.099
      Clustering coefficient c0.0290.034
      Average degree 00
      Assortativity coefficient r0.0660.073
      Assortativity coefficient rM0.0360.032
      (one-mode projection on OEMs)
      Assortativity coefficient rS0.0360.032
      (one-mode projection on part suppliers)
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    Ji-Wei Hu, Song Gao, Jun-Wei Yan, Ping Lou, Yong Yin. Manufacturing enterprise collaboration network: An empirical research and evolutionary model[J]. Chinese Physics B, 2020, 29(8):

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    Paper Information

    Received: Feb. 20, 2020

    Accepted: --

    Published Online: Apr. 29, 2021

    The Author Email: Lou Ping (louping@whut.edu.cn)

    DOI:10.1088/1674-1056/ab96a8

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