Vehicle Routing Optimization for Underground Mines Considering Fuzzy Demand and Time Tolerance

Authors

• Guorong Wang, School of Mechatronics Engineering, Anhui University of Science and Technology, Huainan 232001, China
• Haishun Deng, School of Mechatronics Engineering, Anhui University of Science and Technology, Huainan 232001, China
• Ziming Kou, School of Mechatronics Engineering, Anhui University of Science and Technology, Huainan 232001, China; College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China
• Xuanxuan Yan, School of Mechatronics Engineering, Anhui University of Science and Technology, Huainan 232001, China
• Zhixiang Huang, School of Mechatronics Engineering, Anhui University of Science and Technology, Huainan 232001, China

Abstract

Abstract: To solve the problem of material demand fluctuation and different time windows in auxiliary transportation of underground mines, a routing optimization method for material distribution considering fuzzy demand and time tolerance was proposed. Based on the fuzzy credibility theory, uncertain demand was constrained by fuzzy chance constraints, and a multi-objective routing optimization model for underground mine auxiliary transportation was constructed with the objectives of minimizing the total operating cost of vehicles and maximizing time tolerance. A multi-objective genetic algorithm with mixed dominance strength was designed to solve the model. By calculating the deviation difference of Pareto frontier solutions, a vehicle transportation scheme that simultaneously satisfies the demands of mine workers and enterprises was obtained. Simulation results show that, under different problem scales, the non-dominated solutions obtained by the proposed algorithm have higher quality and better satisfy the actual transportation requirements of material distribution. The research results provide a theoretical basis for optimization and decision-making of material distribution schemes in underground mine auxiliary transportation.

Recommended Citation

Wang, Guorong; Deng, Haishun; Kou, Ziming; Yan, Xuanxuan; and Huang, Zhixiang (2026) "Vehicle Routing Optimization for Underground Mines Considering Fuzzy Demand and Time Tolerance," Journal of System Simulation: Vol. 38: Iss. 4, Article 5.
DOI: 10.16182/j.issn1004731x.joss.24-1256
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss4/5

First Page

903

Last Page

915

CLC

TP391.9

Recommended Citation

Wang Guorong, Deng Haishun, Kou Ziming, et al. Vehicle Routing Optimization for Underground Mines Considering Fuzzy Demand and Time Tolerance[J]. Journal of System Simulation, 2026, 38(4): 903-915.

Corresponding Author

Deng Haishun

DOI

10.16182/j.issn1004731x.joss.24-1256