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China Crude Oil Purchase Decision Under Considering Disruption Risk

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Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 848))

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Abstract

The objective of this article is to study how to avoid crude oil import supply disruption risk. For this purpose, we bring forward two algorithms to crude oil supply order allocation. By finding the solution with minimum percentage of disruption risk and step algorithms, we optimize 2005 china importing crude oil order allocation and gain better result.

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Acknowledgment

This work is partially supported by grants from the National Natural Science Foundation of China (NSFC nos. 71373188 and U1333115).

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Authors and Affiliations

  1. Economics and Management School, Wuhan University, Wuhan, 430072, China

    Wei Pan & Cheng Hu

  2. Management Science and Data Analytics Research Center, Wuhan University, Wuhan, 430072, China

    Wei Pan & Cheng Hu

Authors
  1. Wei Pan
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  2. Cheng Hu
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Corresponding author

Correspondence to Wei Pan .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Beijing Institute of Technology, Beijing, China

    Chuanlu Liu

  4. Wuhan University, Wuhan, China

    Fuling Bian

  5. Beijing Institute of Technology, Beijing, China

    Tisinee Surapunt

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Pan, W., Hu, C. (2018). China Crude Oil Purchase Decision Under Considering Disruption Risk. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_30

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  • DOI: https://doi.org/10.1007/978-981-13-0893-2_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0892-5

  • Online ISBN: 978-981-13-0893-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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