The automotive industry is facing a rapid technological evolution and the request of a very high level of customization of the products. This requires production systems able to manage a high variety of products with low volumes. To this aim, this paper focuses on multi-product assembly lines consisting of a set of stations with a robot operating the transportation and handling of the parts. Due to the high variety of the parts to be processed, perfect balancing is not possible, hence, proper control policies are requested to operate the line. The paper proposes a predictive–reactive scheduling approach to minimize the batch completion time by sequencing the tasks operated by shared resources in a context with uncertain processing times. The viability of the approach is demonstrated through the application to an industrial problem in the automotive industry.

汽车行业正面临着快速的技术演进和对产品高度定制化的要求。这需要生产系统能够以小批量管理多种产品。为此，本文重点介绍多产品装配线，由一组工作站组成，机器人操作零件的运输和处理。由于要加工的零件种类繁多，不可能完美平衡，因此需要适当的控制策略来运行该生产线。该论文提出了一种预测-反应性调度方法通过在不确定处理时间的上下文中对共享资源操作的任务进行排序来最小化批处理完成时间。该方法的可行性通过应用于汽车行业的一个工业问题得到了证明。