In the context of new retail and personalized, small-batch, distributed collaborative production, orders arrive in real time, and each workshop needs to organize production lines based on suborders in real time under the constraints of smart contracts. However, the existing cloud centralized scheduling method has very high calculation and communication costs when inserting orders in real time, and the fully reactive edge scheduling method is difficult to meet the various order-level requirements of customers. Therefore, this article proposes a real-time edge scheduling model that considers real-time trial insertion of orders based on order-level requirements. Further, a real-time edge adjustment method to eliminate fluctuations is proposed. The proposed strategies were implemented using the lightest methods, avoiding cascading effects, to apply to the edge. Experimental results show that proposed strategies have significant advantages in order-level indicators such as customer satisfaction and have slightly better performance in workshop-level indicators such as resource utilization, energy consumption, and makespan.

中文翻译：

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高度可定制工厂的实时边缘调度和调整框架


在新零售和个性化、小批量、分布式协同生产的背景下，订单实时到达，各车间需要在智能合约的约束下根据子订单实时组织生产线。然而，现有的云端集中调度方式在实时插入订单时计算和通信成本非常高，而完全反应式的边缘调度方式很难满足客户各种订单级别的需求。因此，本文提出一种基于订单级别需求考虑订单实时试插的实时边缘调度模型。此外，提出了一种消除波动的实时边缘调整方法。所提出的策略是使用最轻量的方法实施的，避免了级联效应，并应用于边缘。实验结果表明，所提出的策略在客户满意度等订单级指标上具有显着优势，在资源利用率、能耗、完工时间等车间级指标上表现稍好。