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Decision Support Model for Online Education of Logistics Management Major from the Perspective of “Credit Bank”

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e-Learning, e-Education, and Online Training (eLEOT 2021)

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Abstract

For the logistics management major from the perspective of “credit bank”, the traditional online education decision support model has poor reliability due to the lack of data analysis and processing ability. Therefore, this paper proposes a decision support model for online education of logistics management major from the perspective of “credit bank”. Based on the actual needs of online education of logistics management, the basic framework of the model is built; the relevant database required by the model is designed, and the data is classified and standardized before data storage; the designed data path is taken as the support of the model, and the credit settlement in the credit bank is taken as the ultimate goal, and the objective function and related constraints of the model are designed, so as to realize the logistics management Decision support for online education of management major. The experimental results show that the model is more reliable than the traditional decision support model because of its low parameter correlation and high data integrity.

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Authors and Affiliations

  1. School of Economics and Management, Jiangxi Tourism and Commerce Vocational College, Nancang, 330114, China

    Jun Fu & Ming Qin

Authors
  1. Jun Fu
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  2. Ming Qin
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Correspondence to Jun Fu .

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Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Weina Fu

  2. Hunan Normal University, Changsha, China

    Shuai Liu

  3. Hunan Normal University, Changsha, China

    Jianhua Dai

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Fu, J., Qin, M. (2021). Decision Support Model for Online Education of Logistics Management Major from the Perspective of “Credit Bank”. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-84383-0_17

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  • DOI: https://doi.org/10.1007/978-3-030-84383-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84382-3

  • Online ISBN: 978-3-030-84383-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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