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Nowadays, bullet train service stations often suffer from the phenomenon of low operating efficiency due to the unreasonable arrangement of bullet trains that stay in service stations for too long. In order to solve this problem, based on the information of bullet train arrival in two periods of a bullet train service station, this paper comprehensively considered the input source, queuing rules and overhaul intensity of the train service system, determined the objective function and multiple constraint conditions, and established the 0-1 programming model and Uncorrelated Parallel Machine Optimization Model. The model established in this paper can relieve the load pressure of bullet train service station to a great extent, improve the operation efficiency of the service station under the condition of ensuring the maintenance quality of bullet train, and provide theoretical basis for realizing the shortest maintenance time of bullet train service station.

Maintenance of Bullet Train Based on Mathematical Planning and Workshop Scheduling