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The Smart Factory: Exploring Adaptive and Flexible Manufacturing Solutions

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TLDR
This paper reviews the usage of adjective smart in respect to technology and with a special emphasis on the smart factory concept placement among contemporary studies, and proposes a unified definition of this term.
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This article is published in Procedia Engineering.The article was published on 2014-01-01 and is currently open access. It has received 393 citations till now.

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Literature review of Industry 4.0 and related technologies

TL;DR: This exhaustive literature review provides a concrete definition of Industry 4.0 and defines its six design principles such as interoperability, virtualization, local, real-time talent, service orientation and modularity.
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Smart manufacturing: Past research, present findings, and future directions

TL;DR: In this article, the authors surveyed and analyzed various articles related to Smart Manufacturing, identified the past and present levels, and predicted the future, and the major key technologies related to smart manufacturing were identified through the analysis of the policies and technology roadmaps of Germany, the U.S., and Korea that have government-driven leading movements for Smart Manufacturing.
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Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges

TL;DR: A hierarchical architecture of the smart factory was proposed first, and then the key technologies were analyzed from the aspects of the physical resource layer, the network layer, and the data application layer, which showed that the overall equipment effectiveness of the equipment is significantly improved.
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Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0

TL;DR: In this article, the authors analyze how Industry 4.0 triggers changes in the business models of manufacturing SMEs (small and medium-sized enterprises), by conducting a qualitative research with a sample of 68 German SMEs from three industries (automotive suppliers, mechanical and plant engineering, as well as electrical engineering and ICT).
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The industrial management of SMEs in the era of Industry 4.0

TL;DR: The results show that SMEs do not exploit all the resources for implementing Industry 4.0 and often limit themselves to the adoption of Cloud Computing and the Internet of Things and there is still absence of real applications in the field of production planning.
References
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Journal ArticleDOI

Internet of Things (IoT): A vision, architectural elements, and future directions

TL;DR: In this article, the authors present a cloud centric vision for worldwide implementation of Internet of Things (IoT) and present a Cloud implementation using Aneka, which is based on interaction of private and public Clouds, and conclude their IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
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The Computer for the 21st Century

Mark D. Weiser
- 01 Sep 1991 - 
TL;DR: Consider writing, perhaps the first information technology: The ability to capture a symbolic representation of spoken language for long-term storage freed information from the limits of individual memory.
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Supply chain collaboration: Impact on collaborative advantage and firm performance

TL;DR: In this paper, the authors explored the nature of supply chain collaboration and explore its impact on firm performance based on a paradigm of collaborative advantage and found that collaborative advantage is an intermediate variable that enables supply chain partners to achieve synergies and create superior performance.
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Flexible and reconfigurable manufacturing systems paradigms

TL;DR: Reconfigurable manufacturing systems (RMS) as discussed by the authors are a new manufacturing systems paradigm that aims at achieving cost-effective and rapid system changes, as needed and when needed, by incorporating principles of modularity, integrability, flexibility, scalability, convertibility, and diagnosability.
Journal ArticleDOI

SmartFactory—Towards a factory-of-things §

TL;DR: The SmartFactoryKL initiative was founded by industrial and academic partners to create and operate a demonstration and research test bed for future factory technologies to develop technologies which allow to speed up planning and setup, to adapt to rapid product changes during operation, and to reduce the planning effort.
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