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Research on Comprehensive Evaluation Model of a Truck Dispatching System in Open-Pit Mine

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Listed:
  • Xiangyu Kou

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China
    Changsha Mining Research Institute Co., Ltd., Changsha 410012, China)

  • Xuebin Xie

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Yi Zou

    (Zijin Mining Group Co., Ltd., Xiamen 572000, China)

  • Qian Kang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China
    School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Qi Liu

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China
    Changsha Mining Research Institute Co., Ltd., Changsha 410012, China)

Abstract

In this paper, a comprehensive evaluation factor model of a truck dispatching system in open-pit mines is constructed from the three dimensions of optimal route, traffic flow planning, and real-time dispatching, and the final combined weight of the factor is determined according to game theory. On this basis, a comprehensive evaluation model of a truck dispatching system in open-pit mines based on gray relational analysis—technology for order preference by similarity to an ideal solution (GRA-TOPSIS) is established. Taking the truck dispatching system in five open-pit mines as the research background, the advantages and disadvantages of the dispatching system were comprehensively evaluated, and the differences between the dispatching systems were analyzed using the radar chart method. The research shows that the evaluation results of the comprehensive evaluation model of the truck dispatching system in open-pit mines based on GRA-TOPSIS are in line with the reality, which is more conducive to analyzing and comparing the advantages and disadvantages of the systems, effectively identifying the differences of various systems, and making the evaluation of truck dispatching systems more scientific. The research results of this paper broaden the evaluation of truck dispatching systems and provide a theoretical basis for the optimization of truck dispatching systems.

Suggested Citation

  • Xiangyu Kou & Xuebin Xie & Yi Zou & Qian Kang & Qi Liu, 2022. "Research on Comprehensive Evaluation Model of a Truck Dispatching System in Open-Pit Mine," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9062-:d:870331
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    References listed on IDEAS

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    1. Xiaoling Zhang & Decai Tang & Yi Li & Valentina Boamah & Yisi Liu, 2022. "Analysis of OFDI Industry Linkage Network Based on Grey Incidence: Taking the Jiangsu Manufacturing Industry as an Example," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    2. Jiawen Tang & Di Wang & Wei Ye & Bing Dong & Huijuan Yang, 2022. "Safety Risk Assessment of Air Traffic Control System Based on the Game Theory and the Cloud Matter Element Analysis," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
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    Cited by:

    1. Wang, Qian & Gu, Qinghua & Li, Xuexian & Xiong, Naixue, 2024. "Comprehensive overview: Fleet management drives green and climate-smart open pit mine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    2. Jiang Yao & Zhiqiang Wang & Hongbin Chen & Weigang Hou & Xiaomiao Zhang & Xu Li & Weixing Yuan, 2023. "Open-Pit Mine Truck Dispatching System Based on Dynamic Ore Blending Decisions," Sustainability, MDPI, vol. 15(4), pages 1-12, February.

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