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- W2775453732 abstract "Recently, cloud manufacturing has emerged as a type of networked cooperative manufacturing process. The cloud-manufacturing environment implies very large-scale manufacturing services with various manufacturing resources appearing as cloud services and with a huge number of service-performance indexes. In reality, every cloud service is typically divided into several submodules, each of which also contains many service-performance indexes. Because this makes performance matching quite difficult, the question arises of how to select a suitable cloud service. In this work, we adopt a so-called matter-element model to describe the cloud service and the user requirement. In addition, for resource selection, we present a matching method in which module performance similarity is calculated from multidimensional extension distance. The results of a case study illustrate the implementation of the proposed method." @default.
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- W2775453732 date "2017-11-30" @default.
- W2775453732 modified "2023-10-12" @default.
- W2775453732 title "A multidimensional extension–based method for resource performance matching in cloud manufacturing" @default.
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- W2775453732 doi "https://doi.org/10.1177/1063293x17743542" @default.
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