Research article of American Journal of Scientific Research and Essays
Maintenance of Bullet Train Based on Mathematical Planning and Workshop Scheduling
Hairui Zhang1*, Zhong Zheng2, Yu Cao1
1College of Science, China Three Gorges University, Yichang, 443002, China.
2College of Electrical Engineering & New Energy, China Three Gorges University, Yichang, 443002, China.
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.
Keywords: 0-1 programming; Queuing theory; Nncorrelated parallel machine; Fruit fly optimization algorithm; Workshop scheduling
How to cite this article:
Hairui Zhang, Zhong Zheng, Yu Cao. Maintenance of Bullet Train Based on Mathematical Planning and Workshop Scheduling. American Journal of Scientific Research and Essays, 2020; 5:27. DOI:10.28933/ajsre-2020-02-0205
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