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Optimal Scheduling of Emergency Horizontal Transport in Container Port

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Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 315))

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Abstract

This paper discusses the horizontal transport emergency scheduling problem during loading and unloading process in container port. This problem can be solved with the network optimization theory of CPM. A modified network model is provided formulate the problem.

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References

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Author information

Authors and Affiliations

  1. School of Business Administration, North China Electric Power University, Baoding, 071003, China

    Yuansheng Huang & Lixia Tian

  2. Colledge of Quality and Technology Supervision, Hebei University, Baoding, 071002, China

    Shuang Liu

Authors
  1. Yuansheng Huang
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  2. Lixia Tian
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  3. Shuang Liu
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Editor information

Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  2. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  3. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  4. School of Electronics and Information, Tongji University, China, 201804, Shanghai, China

    Duoqian Miao

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© 2012 Springer-Verlag Berlin Heidelberg

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Huang, Y., Tian, L., Liu, S. (2012). Optimal Scheduling of Emergency Horizontal Transport in Container Port. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2012. Communications in Computer and Information Science, vol 315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34240-0_14

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  • DOI: https://doi.org/10.1007/978-3-642-34240-0_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34239-4

  • Online ISBN: 978-3-642-34240-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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