关键词: 飞机装配, 装配调度, 设备预防性维护, 前摄式反应调度, 质量偏差预测, 支持向量回归, 灰狼算法

Abstract: To solve the problem of project schedule delay and additional cost caused by quality defects due to equipment degradation in aircraft assembly process,a proactive response scheduling model for joint optimization of aircraft assembly scheduling and equipment preventive maintenance was established,and a condition based maintenance strategy with periodic inspection was designed.A quality deviation prediction model based on Support Vector Regression (SVR) and an Improved individual evolutionary Gray Wolf Algorithm (IGWO) were proposed to generate a proactive response scheduling plan.The comparative experiments of different maintenance strategies showed that the periodic condition based maintenance strategycould obtain lower comprehensive cost than the comparative strateg.The comparative experiments of different algorithms compared and analyzed the performance of the proposed algorithm,and the effectiveness of IGWO in solving problems was verified.

Key words: aircraft assembly, assembly scheduling, equipment preventive maintenance, proactive response scheduling, quality deviation prediction, support vector regression, gray wolf algorithm