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Open AccessJournal Article

Cloud manufacturing:a new service-oriented networked manufacturing model

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TLDR
In this article, a new service-oriented networked manufacturing model called Cloud Manufacturing (CMfg) was proposed, and differences among CMfg, application service provider and manufacturing grid were discussed.
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This article is published in Computer Integrated Manufacturing Systems.The article was published on 2010-01-01 and is currently open access. It has received 609 citations till now. The article focuses on the topics: Cloud manufacturing & Computer-integrated manufacturing.

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Journal ArticleDOI

A fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity

TL;DR: A fuzzy mid-term capacity and production planning model for a manufacturer with cloud-based capacity is proposed in this study and the proposed methodology successfully reduced total costs by up to 8%.
Book ChapterDOI

ICMS: A Cloud-Based System for Production Management

TL;DR: It is shown that the Cloud-based manufacturing system is capable of supporting distributed and customised production services and managements.
Journal ArticleDOI

Social Production System: A Three-Layer Smart Framework for Implementing Autonomous Human-Machine Collaborations in a Shop Floor

TL;DR: In this article, a three-layer framework is proposed for the smart transformation of the production shop floor, which integrates cyber-physical system (CPS), knowledge graph technology, and production-event driven model.
Proceedings ArticleDOI

Bills of Standard Manufacturing Services (BOSS) Construction Based on focused Crawler

TL;DR: This paper proposed an automatic perfecting service information method of BOSS using the focused crawler technology and verified the feasibility and effectiveness of this method.
Proceedings ArticleDOI

Predicting execution time of manufacturing cloud services using BP neural network

TL;DR: Experimental results demonstrate that the proposed approach can outperform the existing methods in improving the prediction accuracy of execution time.
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