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Research on Synergistic Selection Decision-Making of Manufacturing Enterprises and the Third Party Logistics in the Cluster Environment

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Book cover Intelligent Computing Methodologies (ICIC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9773))

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Abstract

Reasonable interest distribution and risk-sharing problem are known as the biggest obstacles for manufacturing enterprises and the third party logistics enterprises to choose whether to collaborate and evaluate the operation effect of the existing cooperative system. Firstly, based on the deeply exploration of the interest and risk relationship in the cluster environment, decision model of synergy profit distribution and risk sharing based on the Shapley value has been put forward; Secondly, this paper explores the 2-d curve fluctuations while the logistics cost is taken as the fixed variable and the value of interest distribution and risk quantification as the relative variable, and suggests the breakthrough point and the range of synergistic selection to help enterprises in decision-making; Finally, the case study has verified the fluctuation rule.

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Authors and Affiliations

  1. School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China

    Jin Tang

  2. College of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, 050000, China

    Chundong Guo & Shiwen Zhao

Authors
  1. Jin Tang
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  2. Chundong Guo
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  3. Shiwen Zhao
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Corresponding author

Correspondence to Shiwen Zhao .

Editor information

Editors and Affiliations

  1. Tongji University , Shanghai, China

    De-Shuang Huang

  2. Inha University , Incheon, Korea (Republic of)

    Kyungsook Han

  3. Liverpool John Moores University , Liverpool, United Kingdom

    Abir Hussain

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© 2016 Springer International Publishing Switzerland

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Tang, J., Guo, C., Zhao, S. (2016). Research on Synergistic Selection Decision-Making of Manufacturing Enterprises and the Third Party Logistics in the Cluster Environment. In: Huang, DS., Han, K., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2016. Lecture Notes in Computer Science(), vol 9773. Springer, Cham. https://doi.org/10.1007/978-3-319-42297-8_44

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  • DOI: https://doi.org/10.1007/978-3-319-42297-8_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42296-1

  • Online ISBN: 978-3-319-42297-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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