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首页> 外文期刊>IEEE transactions on industrial informatics >Manufacturing Services Scheduling With Supply–Demand Dual Dynamic Uncertainties Toward Industrial Internet Platforms
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Manufacturing Services Scheduling With Supply–Demand Dual Dynamic Uncertainties Toward Industrial Internet Platforms

机译：制造服务调度，供需双动不确定性走向工业互联网平台

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摘要

As a series of industrial Internet platforms have been launched, manufacturing facilities in the physical world, although distributed in different enterprises, are interconnected in the form of manufacturing services (MSs) in cyberspace. In this context, it makes possible for on-demand sharing of MSs as well as corresponding cross-enterprise collaboration. However, many dynamic uncertainties of both MSs and the submitted demands occur unpredictably, which seriously hinders the platforms' applications. To cope with the problem of MSs scheduling with supply-demand dual dynamic uncertainties, a three-stage approach based on an evolutionary hypernetwork model is proposed. In which, six of nine kinds of dynamic events and eighteen specific conditions are considered, and an event-condition-act mechanism is designed to guide local/global rescheduling if needed. Experimental results show the effectiveness of the proposed approach, as well as the potential of a platform employing the approach in response to different dynamic events in its application.
机译：随着一系列工业互联网平台已经推出，物理世界的制造设施虽然在不同的企业中分发，以网络空间的制造服务（MSS）的形式互连。在此上下文中，它可以按需共享MSS以及相应的交叉企业协作。然而，MSS的许多动态不确定性和提交的需求都会出现不可预测的，这严重阻碍了平台的应用程序。为了应对与供需双动态不确定性的调度MSS调度问题，提出了一种基于进化超网络模型的三阶段方法。其中，考虑了九种动态事件和十八个特定条件中的六种，并且旨在指导如果需要指导本地/全球重新安排。实验结果表明了所提出的方法的有效性，以及采用这种方法的平台的潜力响应于其应用中的不同动态事件。

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