Industry 4.0 requires high levels of autonomy in order to guarantee the manufacturing processes to achieve production goals. For this, it is needed high levels of coordination, cooperation, and collaboration, such that the manufacturing process’ actors can communicate and interoperate. A previous paper proposed three autonomic cycles of data analytics tasks for self-coordination in manufacturing processes. In this paper, we implement one of these autonomic cycles, allowing self-supervising of the coordination process. This autonomic cycle is designed using the MIDANO’s methodology, and implemented and tested using an experimental tool that was developed to replay the production process event logs, in order to detect failures and invoke the autonomic cycle for self-healing when needed.

工业4.0要求高度自治，以保证制造过程实现生产目标。为此，需要高水平的协调，合作和协作，以便制造过程的参与者可以进行交流和互操作。先前的论文提出了数据分析任务的三个自主循环，以实现制造过程中的自协调。在本文中，我们实现了这些自主循环之一，从而实现了协调过程的自我监督。该自主循环使用MIDANO的方法进行设计，并使用开发用于重放生产过程事件日志的实验工具进行实施和测试，以便检测故障并在需要时调用自主循环进行自我修复。