Opportunities of Sustainable Manufacturing in Industry 4.0
Tim Stock,G. Seliger +1 more
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
Citations
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Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers
TL;DR: In this paper, the authors propose a framework of risks in the context of Industry 4.0 that is related to the Triple Bottom Line of sustainability, including economic risks, the risks associated with high or false investments, as well as the threatened business models and increased competition from new market entrants.
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Drivers to sustainable manufacturing practices and circular economy: a perspective of leather industries in Bangladesh
TL;DR: In this article, the authors have used graph theory and a matrix approach to examine the drivers of sustainable manufacturing practices in the leather industry of Bangladesh, and they have shown that knowledge of the circular economy is paramount to implementing sustainability manufacturing practices.
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Digital twin-based sustainable intelligent manufacturing: a review
Bin He,Kai-Jian Bai +1 more
TL;DR: A digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin technology and the future development direction of intelligent Manufacturing is presented.
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Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection
TL;DR: In this paper, the authors identified a set of challenges (framework) for implementing Industry 4.0 in manufacturing industries and evaluated them using a novel multi-criteria decision-making method named Best-Worst method (BWM).
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Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities
TL;DR: In this article, the authors employed institutional theory and resource-based view theory to elucidate the way in which automotive firms configure tangible resources and workforce skills to drive technological enablement and improve sustainable manufacturing practices and furthermore develop circular economy capabilities.
References
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Stefan Schaltegger,Marcus Wagner +1 more
TL;DR: In this paper, the authors propose a framework to position sustainable entrepreneurship in relation to sustainability innovation, which is based on a typology of sustainable entrepreneurship, including social and institutional entrepreneurship.
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“Uncovering” Industrial Symbiosis
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