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Titlebook: Implementing Industry 4.0; The Model Factory as Carlos Toro,Wei Wang,Humza Akhtar Book 2021 The Editor(s) (if applicable) and The Author(s)

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发表于 2025-3-21 19:00:32 | 显示全部楼层 |阅读模式
书目名称Implementing Industry 4.0
副标题The Model Factory as
编辑Carlos Toro,Wei Wang,Humza Akhtar
视频videohttp://file.papertrans.cn/463/462629/462629.mp4
概述Is the first book of its kind relating the real-world implementation of concepts related to smart manufacturing and Industry 4.0 adoption.Constitutes a clear base ground not only for inspiration of re
丛书名称Intelligent Systems Reference Library
图书封面Titlebook: Implementing Industry 4.0; The Model Factory as Carlos Toro,Wei Wang,Humza Akhtar Book 2021 The Editor(s) (if applicable) and The Author(s)
描述.This book relates research being implemented in three main research areas: secure connectivity and intelligent systems, real-time analytics and manufacturing knowledge and virtual manufacturing...Manufacturing SMEs and MNCs want to see how Industry 4.0 is implemented. On the other hand, groundbreaking research on this topic is constantly growing. For the aforesaid reason, the Singapore Agency for Science, Technology and Research (A*STAR), has created the model factory initiative. ..In the model factory, manufacturers, technology providers and the broader industry can (i) learn how I4.0 technologies are implemented on real-world manufacturing use-cases, (ii) test process improvements enabled by such technologies at the model factory facility, without disrupting their own operations, (iii) co-develop technology solutions and (iv) support the adoption of solutions at their everyday industrial operation. ..The book constitutes a clear base ground not only for inspiration of researchers, but also for companies who will want to adopt smart manufacturing approaches coming from Industry 4.0 in their pathway to digitization..
出版日期Book 2021
关键词Model Factories; Industry 4; 0; Machine Learning; Machine to Machine Connectivity; Industrial Cyber Secur
版次1
doihttps://doi.org/10.1007/978-3-030-67270-6
isbn_softcover978-3-030-67272-0
isbn_ebook978-3-030-67270-6Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 22:41:53 | 显示全部楼层
Real-Time Asset Tracking for Smart Manufacturing,tem (RTLS) for asset tracking provides useful data inputs for various purposes such as monitoring of personnel on the factory floor, equipment utilization, inventory levels and flow of work-in-progress (WIP). This in turn leads to better identification of bottlenecks, optimization of factory layouts
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Unified IIoT Cloud Platform for Smart Factory,nificant impact in a Smart Factory. This implies the ability of having interconnected sensors and devices, crucial in supporting such industry 4.0 developments and applications. However, different vendors, protocols and technologies hinder the development as it requires arguably specific skillsets a
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Online Overall Equipment Effectiveness (OEE) Improvement Using Data Analytics Techniques for CNC Mag industry to determine the efficiency of plant operations. OEE is able to measure and visualize plant’s operational effectiveness, and to create actionable steps to improve quality, save time, and eliminate waste. It can be used as a benchmark to compare the organization performance to industry sta
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A Review of Dynamic Scheduling: Context, Techniques and Prospects,perience unpredictable disruptions on an almost non-stop basis. Dynamic scheduling techniques have thus become the key techniques to achieve robust and flexible production schedules. Researchers have proposed multiple approaches to handle the unpredictable disruptions on the shop floor, either by pr
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Digital Twin Architecture and Development Trends on Manufacturing Topologies,ons and vitalize manufacturing processes in a cost-effective manner. Developing on top of Industry 4.0 paradigms, advanced robotics, predictive analytics, and process flow automation benefit from the use of digital replicas known as digital twins (DT). DT is a prevailing technology in manufacturing
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