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

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.

A Novel Grey Fuzzy Clustering Model and its Application on Students’ Performance Evaluation

“…Luo et al (2022) propose a health condition rating system covering system level and device level, use the G1 group method and projection recourse method to get the optimal weights, propose an improved grey TOPSIS comprehensive evaluation model based on prospect theory, and verify the validity of the proposed model in this paper. Kou et al (2022) determined the combination weights of the factors based on game theory, established a comprehensive evaluation model of the open pit mine truck scheduling system based on grey correlation analysis (GRA-TOPTSIS), and verified the effectiveness of the model. Gu et al (2023) proposed an employment quality evaluation model based on grey correlation and fuzzy C-mean (FCM) to address the defects of large errors in employment quality evaluation and compared the algorithm with other employment quality evaluation models to verify the superiority of the model.…”