A flexible production duration is necessary because of the increase in the demand for modular construction; further, the benefits of modular construction, such as reduced duration and labor requirement, are also considered important. Such construction requires various production line design alternatives that consider the benefits with equal priority. To address this issue, a multiobjective optimization model for modular unit production line (MOMUPL) was developed based on a genetic algorithm. To this end, differences between unit production line design and scheduling methods in the manufacturing industry were identified. Then, to rank solutions in optimization processes, the nondominated sorting genetic algorithm II (NSGA-II) was applied to the model. The MOMUPL suggests various optimization results, thereby allowing the project manager to select a solution based on specific project characteristics. Therefore, using MOMUPL, the duration for scheduling is expected to be reduced along with a reduction in project labor cost and duration.

由于对模块化结构的需求增加，因此需要灵活的生产时间。此外，模块化结构的好处，例如减少工期和劳动力需求也很重要。这种构造需要各种生产线设计替代方案，这些替代方案都将收益同等考虑。为了解决这个问题，基于遗传算法开发了模块化单元生产线（MOMUPL）的多目标优化模型。为此，确定了制造业中单位生产线设计与调度方法之间的差异。然后，为了在优化过程中对解决方案进行排名，将非主导排序遗传算法II（NSGA-II）应用于模型。MOMUPL建议各种优化结果，从而使项目经理可以根据特定项目特征选择解决方案。因此，使用MOMUPL可以减少调度的时间，并减少项目的人工成本和时间。