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Structure Characteristics Analysis of Diesel Sales in Complex Network Method

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Abstract

With the rising profits of oil companies in the refined oil sector, the optimization of the refined oil supply chain network has received more and more attention. In most supply chains (SCs), transaction relationships between suppliers and customers are commonly considered to be an extrapolation from a linear perspective. However, this traditional linear concept of an SC is egotistic and oversimplified and does not sufficiently reflect the complex and structure of supplier–customer relationships in current economic and industrial situations. But key global knowledge can be obtained from complex network characteristics analysis of the net form sales system. For two-level network like refine oil supply network, this paper proposed an integrated framework to explore its characteristics. Through various analyses of this complex network, including visual, network scale, network agglomeration, network community and geographic information analyses, we could found the characteristics of regular network node relations and regional location characteristics, as well as a strongly correlation between correlation coefficient thresholds and the network interdependence, and also moderated the correlation between SN efficiency and SN resilience. In order to testify this supply network analysis method, we conducted a real-world SN analyses based on a Chinese province diesel supply network and describe an advanced investigation of SN theory. This method enrich the SN theory, which can benefit SN management, community economics and industrial resilience. Also the basic understanding of the diesel sales network system obtained in this paper provides guidance for further research on this network structure, which can also provide a reference for regional sales supervision and resource distribution.

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Acknowledgements

This research is supported by grants from the Natural Science Foundation of China (Grant No. 71173199). The authors would like to express their gratitude to An Haizhong who provided valuable suggestions.

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Authors and Affiliations

  1. School of Energy, China University of Geosciences, Beijing, 100083, China

    Datong Zhou & Zhiping Li

  2. School of Humanities and Economic Management, China University of Geosciences, Beijing, 100083, China

    Huajiao Li & Jinsheng Zhou

  3. Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resources, Beijing, 100083, China

    Huajiao Li & Jinsheng Zhou

  4. China Open Lab of Talents Evaluation, Ministry of Land and Resources, Beijing, 100083, China

    Huajiao Li & Jinsheng Zhou

  5. CNPC Economics and Technology Research Institute, Beijing, 100120, China

    Datong Zhou & Donglong Lin

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  1. Datong Zhou
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  2. Huajiao Li
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  3. Zhiping Li
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  4. Jinsheng Zhou
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  5. Donglong Lin
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Correspondence to Huajiao Li.

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Zhou, D., Li, H., Li, Z. et al. Structure Characteristics Analysis of Diesel Sales in Complex Network Method. Cluster Comput 22 (Suppl 3), 5635–5645 (2019). https://doi.org/10.1007/s10586-017-1403-5

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  • DOI: https://doi.org/10.1007/s10586-017-1403-5

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