Task planning and action planning for workshop machines are essential for modern manufacturing. Traditionally, these two problems are solved independently with elaborate manual methods. However, personalized customization introduces more dynamic exogenous events into the manufacturing system, and it is then impossible to consider all possible dynamic scenarios manually. This paper focuses on online automated planning, generating new plans automatically in response to new dynamic situations. We first formulate the planning problem for a flexible manufacturing system as a fully observable nondeterministic planning problem. Second, a hierarchical automated online planning approach is presented. Finally, the effectiveness of the proposed approach is verified by an ARIAC 2022 competition environment.

中文翻译：

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柔性制造系统的分层在线自动化规划


车间机器的任务规划和行动规划对于现代制造至关重要。传统上，这两个问题是通过复杂的手工方法独立解决的。然而，个性化定制将更多的动态外生事件引入制造系统，因此不可能手动考虑所有可能的动态场景。本文重点关注在线自动化规划，自动生成新计划以响应新的动态情况。我们首先将柔性制造系统的规划问题表述为完全可观察的非确定性规划问题。其次，提出了一种分层自动化在线规划方法。最后，通过ARIAC 2022竞赛环境验证了该方法的有效性。