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为平衡并行装配过程中生产柔性、制造复杂性和产品多样性之间的矛盾,提出一种基于顾客选择和制造复杂性优化的并行装配系统设计方法。面向所有可能的并行装配系统结构,通过分析并行结构复杂性和细分市场顾客选择产品过程,建立了市场占有率和制造复杂性的多目标优化模型,并提出求解该问题的两层嵌套遗传算法,内层实现当前产品组合的最小制造复杂性产品调度,外层在不同产品组合中搜寻两目标综合表现最优解,以此来评价不同并行装配系统结构设计的优劣。最后结合一个算例验证了该方法的有效性。
In order to balance the contradiction between production flexibility, manufacturing complexity and product diversity in parallel assembly process, a parallel assembly system design method based on customer selection and manufacturing complexity optimization is proposed. For all possible parallel assembly system architectures, a multi-objective optimization model of market share and manufacturing complexity is established by analyzing the parallel structural complexity and customer choice product process in the market segments. A two-level nested genetic algorithm is proposed to solve this problem Algorithm, the inner product scheduling to achieve the minimum complexity of the current product portfolio, the outer product portfolio in the search for the best two-way performance of the optimal solution, in order to evaluate the advantages and disadvantages of different parallel assembly system structure design. Finally, an example is given to verify the effectiveness of this method.