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中文摘要：
在飞机大修作业并行规划中,以往将部件/结构件的拆卸时间视为确定性变量,但由于飞机老龄化或作业空间小等原因,实际拆卸时间存在不确定性。针对这一问题,采用不确定理论描述该不确定时间变量,将其期望值转化为确定性实数规划模型,并设计一套遗传算法计算出并行规划的最优解。计算实例结果表明了该模型的合理性和算法的有效性。
英文摘要：
The removal time of the unit or part is considered as certain variable usually in aircraft overhaul parallel disassembly. But in fact this time variable is uncertain because aircraft ageing or narrow operation space. So using the uncertain time variable is described by utilizing uncertainty theory, and its expected value is converted into the certain schedule model, the optimal solution of the parallel disassembly scheduling is calculated in genetic algorithm, The result shows that the model is reasonable and the algorithm is effective.
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