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首页> 外文期刊>IEEE transactions on industrial informatics >Real-Time Scheduling of Cloud Manufacturing Services Based on Dynamic Data-Driven Simulation
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Real-Time Scheduling of Cloud Manufacturing Services Based on Dynamic Data-Driven Simulation

机译：基于动态数据驱动仿真的云制造服务实时调度

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摘要

In service-oriented manufacturing modes, service scheduling is important for providing just-in-time delivery of manufacturing services to customers. In this paper, the mathematical model of the dynamic cloud manufacturing scheduling problem is constructed, and a scheduling method based on dynamic data-driven simulation is proposed to improve the scheduling performance. The framework, scheduling rules and simulation strategies are discussed in detail. Specifically, three single scheduling rules and three combined scheduling rules are designed based on service time, logistics time, and subtask queue status of candidate services. The real-time information of tasks and services is involved in the simulation strategy to select better scheduling rules. The simulation models of proposed scheduling strategies are constructed and simulated in the Simio software, which is connected to a real-time information database. The proposed method is tested through a case study of numerical control machining in cloud manufacturing, and the results show that the proposed method is promising.
机译：在面向服务的制造模式中，服务调度对于向客户提供及时的制造服务交付非常重要。建立了动态​​云制造调度问题的数学模型，提出了一种基于动态数据驱动仿真的调度方法，以提高调度性能。详细讨论了框架，调度规则和仿真策略。具体来说，根据服务时间，后勤时间和候选服务的子任务队列状态，设计了三个单一的调度规则和三个组合的调度规则。任务和服务的实时信息包含在仿真策略中，以选择更好的调度规则。在与实时信息数据库连接的Simio软件中构建并仿真了拟议的调度策略的仿真模型。通过对云制造中数控加工的案例研究对该方法进行了测试，结果表明该方法是有前途的。

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