基于数字底座的涂装车身缓存区智能设计与调度优化

Intelligent design and scheduling optimization of painted body storage based on digital pedestal system

在汽车生产环节进行数字建模、系统仿真与优化对提升汽车的生产质量和效率具有重要意义。为了解决目前汽车制造企业普遍存在的因数据链断裂而导致的资源配置效率低下等难题,以汽车涂装车身缓存区(painted body storage,PBS)为研究对象,提出了一种新型的数字底座平台,来实现数据链整合和多源异构数据融合。同时,设计了一种针对PBS的车身调序策略,考虑了总装工艺对车序优化的约束,采用遗传算法获得了PBS出车序列,然后以逆序数对为参考指标,进行PBS车道排布。将基于数字底座的PBS系统应用于某汽车制造企业,应用效果验证了所提出方法和策略的有效性。研究结果为企业构建内部集成制造平台和设计具体车间单元提供了参考。

Digital modeling,system simulation and optimization in the automotive production process are of great significance for improving the quality and efficiency of automotive production.In order to solve the common problem of low resource allocation efficiency caused by data link breakage in automobile manufacturing enterprises,a new type of digital pedestal system was proposed based on the painted body storage(PBS)of automobile,to achieve data chain integration and multi-source heterogeneous data fusion.At the same time,a vehicle sequencing strategy for PBS was designed,taking into account the constraints of the final assembly process on sequence optimization.The PBS outbound sequence was obtained by a genetic algorithm,and then the inverse ordinal pair was used as a reference index for PBS lane layout.The effectiveness of the proposed method and strategy was verified by applying the PBS system based on digital pedestal system to a certain automotive manufacturing enterprise.The research results provide a reference for enterprises to build internal integrated manufacturing platforms and design specific workshop units.