Title :
Optimization Model and Algorithm for China Railway High-Speed Maintenance Job Work Order Scheduling
Author :
Jinping Qi ; Xianfeng Zha
Author_Institution :
Mechatron. T&R Inst., Jiaotong Univ., Lanzhou, China
Abstract :
Safety and efficiency are the fundamental requirements of China Railway High-speed and its maintenance. And the maintenance time of CRH is short, and is subject to the constraint of time. So reasonable CRH maintenance plan and rational allocation of staff are proved to be critical. This paper first gives a mathematical description of the problem and establishes a model. Then it uses the virus genetic algorithm to find the answers. The virus genetic algorithm is verified with a capable for the scheduling optimization of reasonable maintenance work orders by a numerical example, obtaining the engineering solution before the deadline, thereby achieving the optimal configuration of human resources scheduling in the maintenance work order.
Keywords :
genetic algorithms; human resource management; maintenance engineering; railway safety; rapid transit systems; resource allocation; scheduling; CRH maintenance plan; CRH rational staff allocation; China railway high-speed maintenance job work order scheduling; optimal human resource scheduling configuration; optimization model; railway efficiency; railway safety; scheduling optimization algorithm; virus genetic algorithm; Biological cells; Encoding; Genetic algorithms; Maintenance engineering; Resource management; Scheduling; Sociology; CRH; Configuration of human resource; maintenance; virus genetic algorithm; work order;
Conference_Titel :
Computer Sciences and Applications (CSA), 2013 International Conference on
Conference_Location :
Wuhan
DOI :
10.1109/CSA.2013.60
