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Using genetic annealing simulated annealing algorithm to solve disassembly sequence planning

机译:用遗传退火模拟退火算法求解拆卸序列计划

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Disassembly sequence planning (DSP) plays a significant role in maintenance planning of the aircraft. It is used during the design stage for the analysis of maintainability of the aircraft. To solve product disassembly sequence planning problems efficiently, a product disassembly hybrid graph model, which describes the connection, non-connection and precedence relationships between the product parts, is established based on the characteristic of disassembly. Further, the optimization model is provided to optimize disassembly sequence. And the solution methodology based on the genetic/simulated annealing algorithm with binary-tree algorithm is given. Finally, an example is analyzed in detail, and the result shows that the model is correct and efficient.
机译:拆卸顺序计划(DSP)在飞机的维护计划中起着重要作用。在设计阶段用于分析飞机的可维护性。为了有效解决产品拆卸序列计划问题,基于拆卸特性,建立了描述产品零件之间的连接,非连接和优先关系的产品拆卸混合图模型。此外,提供了优化模型以优化拆卸顺序。给出了基于遗传/模拟退火算法与二叉树算法的求解方法。最后,通过实例分析,表明该模型是正确有效的。

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