Multi-objective combination optimization of subway train frame overhaul downtime and maintenance cost based on genetic algorithm
In response to the demand for subway operation and maintenance to reduce the downtime and maintenance costs of subway train frame overhaul,this paper proposed a multi-objective combination optimization method based on genetic algorithm for subway train frame overhaul downtime and maintenance costs.The paper took the downtime and maintenance cost of subway train frame overhaul as the objective function,comprehensively considered key factors such as the correlation between tasks,and constructed a multi-objective combination optimization model,used genetic algorithm to solve it and obtained the maintenance plan for subway train frame overhaul.The feasibility of this method was verified based on maintenance data from a certain subway.Through comparative experiments with traditional maintenance modes,it was proven that this method could significantly reduce the downtime and maintenance costs of subway train frame overhaul.It can provide technical support for the early planning and decision-making of subway train frame overhaul business.
NETL
NSTL
万方数据
