Opportunities of Sustainable Manufacturing in Industry 4.0
Tim Stock,G. Seliger +1 more
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TLDR
In this article, the authors present a state-of-the-art review of Industry 4.0 based on recent developments in research and practice, and present an overview of different opportunities for sustainable manufacturing in Industry 5.0.About:
This article is published in Procedia CIRP.The article was published on 2016-01-01 and is currently open access. It has received 1276 citations till now. The article focuses on the topics: Sustainable development & Sustainability.read more
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Modeling a predictive maintenance management architecture to meet industry 4.0 requirements: A case study
Helge Nordal,Idriss El-Thalji +1 more
TL;DR: In this paper, a reference architecture for an intelligent maintenance management system that complies with Industry 4.0 visions and requirements is developed, where the industrial needs were derived from stakeholders and use case scenarios using a case study methodology.
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The Emperor’s New Clothes or an Enduring IT Fashion? Analyzing the Lifecycle of Industry 4.0 through the Lens of Management Fashion Theory
TL;DR: In this paper, a comprehensive discourse lifecycle analysis based on 3920 academic and practical publications comprising a rhetoric and content analysis along with a diffusion life cycle analysis involving selected diffusion indicators was conducted to answer the question of how Industry 4.0 has emerged as a management fashion and how it has diffused in organizational practice.
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Industrial Time Series Modelling by Means of the Neo-Fuzzy Neuron
TL;DR: The neo-fuzzy neuron method is introduced to be applied in industrial time series modeling because its open structure and input independence provide fast learning and convergence capabilities, while assuring a proper accuracy and generalization in the modeled output.
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Critical Success Factors of Industry 4.0 in Automotive Manufacturing Industry
TL;DR: In this article , the authors empirically examined the critical success factors (CSF) for implementing Industry 4.0 (I4) technologies in Indian automotive manufacturing industry and examined the relationships between CSF and performance outcomes.
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Barriers of embedding big data solutions in smart factories: insights from SAP consultants
TL;DR: This study built on and extended existing knowledge and theories on smart factory, big data and information systems research and can raise awareness of business managers regarding the complexity and difficulties for embedding big data tools in smart factories, and so assist them in strategic planning and decision making.
References
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