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中文摘要：
为了解决MRO服务提供商的预维修调度问题，提出了基于设备故障预期的预维修人员优化调度方法。在该研究方法中，分析了MRO服务提供模式及其优点，建立了基于设备故障统计分布的预维修计划时间优化模型，根据模型确定设备的预维修计划时间，建立了设备预维修调度模型，采用量子粒子群算法对模型求解，并比对基于预维修计划时间的先来先服务方法。最后，通过实例示例了基于MRO服务提供商的预维修调度的求解过程，并对结果进行了分析，保证了模型的合理性及算法求解的有效性。
英文摘要：
The problem of pre-maintenance scheduling of MRO service provider is studied. A staff scheduling method based on anticipated equipment failure was developed. MRO service providing pattern and its advantages are discussed firstly. Then, the pre-maintenance optimization model based on the statistical distribution of equipment failure times was established. The quantum particle swarm optimization is used for solving the model, and compared with First Come First Service （FCFS） method. Finally, a case study is presented to demonstrate the solution process of the pre-maintenance scheduling with MRO service provider. The results show the model is appropriate and the algorithm is effective.
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