Decision Support System of the Single Track Railway Rescheduling with Predictive Delay

Rusdiansyah, Ahmad; Iswardani, Kurnia

doi:10.1109/ieem.2018.8607819

Cited by 1 publication

(1 citation statement)

References 10 publications

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“…According to the existing research of scholars from various countries, the main equipment rescheduling research work can be carried out in three steps. First, the breakdown problem is considered [12][13][14], and the original plan is reprogrammed [15]. Second, the existing rescheduling model is employed to construct a new rescheduling model [16], or corresponding rescheduling strategies [17][18][19][20][21] and frameworks [22] are proposed according to different breakdown problems.…”

Section: Introductionmentioning

confidence: 99%

Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation

Feng

Lei

et al. 2022

Sustainability

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Due to production space and operating environment requirements, mine production equipment often breaks down, seriously affecting the mine’s production schedule. To ensure the smooth completion of the haulage operation plan under abnormal conditions, a model of the haulage equipment rescheduling plan based on the random simulation of equipment breakdowns is established in this paper. The model aims to accomplish both the maximum completion rate of the original mining plan and the minimum fluctuation of the ore grade during the rescheduling period. This model is optimized by improving the wolf colony algorithm and changing the location update formula of the individuals in the wolf colony. Then, the optimal model solution can be used to optimize the rescheduling of the haulage plan by considering equipment breakdowns. The application of the proposed method in an underground mine revealed that the completion rate of the mine’s daily mining plan reached 83.40% without increasing the amount of equipment, while the ore quality remained stable. Moreover, the improved optimization algorithm converged quickly and was characterized by high robustness.

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