The design process of flow-oriented assembly systems is characterized by being both highly complex and time consuming. Especially those design processes categorized into robotic and multi variant encountered in the automotive body-in-white production stages. Unlike established manual and template-based assembly system design models, which are currently applied in industry, the here presented novel approach uses a knowledge-based search algorithm and automatically generates optimal assembly system configurations. The algorithm has been implemented in a software prototype and the results have been validated against different large-size industrial scenarios in the automotive field of body-in-white production.

面向流程的装配系统的设计过程的特点是既复杂又费时。特别是那些在汽车白车身生产阶段遇到的设计过程分为机器人和多种变体。与目前在工业中应用的已建立的基于手动和基于模板的装配系统设计模型不同，本文介绍的新颖方法使用基于知识的搜索算法并自动生成最佳装配系统配置。该算法已在软件原型中实现，并且结果已针对白车身生产的汽车领域中不同的大型工业场景进行了验证。