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• W2058992220 endingPage "270749" @default.
• W2058992220 startingPage "270749" @default.
• W2058992220 abstract "Typical challenges that manufacturing enterprises are facing now are compounded by lack of timely, accurate, and consistent information of manufacturing resources. As a result, it is difficult to analyze the real-time production performance for the shop-floor. In this paper, the definition and overall architecture of the internet of manufacturing things is presented to provide a new paradigm by extending the techniques of internet of things (IoT) to manufacturing field. Under this architecture, the real-time primitive events which occurred at different manufacturing things such as operators, machines, pallets, key materials, and so forth can be easily sensed. Based on these distributed primitive events, a critical event model is established to automatically analyze the real-time production performance. Here, the up-level production performance analysis is regarded as a series of critical events, and the real-time value of each critical event can be easily calculated according to the logical and sequence relationships among these multilevel events. Finally, a case study is used to illustrate how to apply the designed methods to analyze the real-time production performance." @default.
• W2058992220 created "2016-06-24" @default.
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• W2058992220 date "2014-01-01" @default.
• W2058992220 modified "2023-10-17" @default.
• W2058992220 title "Real-Time Shop-Floor Production Performance Analysis Method for the Internet of Manufacturing Things" @default.
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• W2058992220 doi "https://doi.org/10.1155/2014/270749" @default.
• W2058992220 hasPublicationYear "2014" @default.
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