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Design and Application of a Visual System for the Supply Chain of Thermal Coal Based on Big Data

  • Xinyue Zhang
  • Yanmin HanEmail author
  • Wei Ge
  • Daqiang Yan
  • Yiming Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10968)

Abstract

Big data is now applied to many different fields. The paper will introduce the application of big data in the coal supply chain of the power industry. We designed and implemented a visual system for the Supply Chain of Thermal Coal (SCTC). This system can analyze and predict the coal demand for power generation enterprises. In the system, power companies can easily find suitable coal suppliers by comparing the price of coal, transportation cost, supply cycle, industry status, enterprise credit, etc. So they can reduce power generation cost and storage cost, match power generation plan, and understand regional situation. In addition, the system provides enterprise portrait for each coal company from many aspects, such as credit, risk information, service quality and so on. At the same time, we used actual data to verify the system. It is hoped that the application of this study can provide reference for peers and related industries.

Keywords

Thermal coal supply chain Enterprise portrait Big data 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Xinyue Zhang
    • 1
  • Yanmin Han
    • 1
    Email author
  • Wei Ge
    • 2
  • Daqiang Yan
    • 1
  • Yiming Chen
    • 3
  1. 1.Big Data CenterState Power Investment Corporation LimitedBeijingChina
  2. 2.Central Research InstituteState Power Investment Corporation LimitedBeijingChina
  3. 3.State Power Investment Corporation LimitedBeijingChina

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