Proceedings ArticleDOI
Industry 4.0: Towards future industrial opportunities and challenges
Keliang Zhou,Taigang Liu,Lifeng Zhou +2 more
- pp 2147-2152
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TLDR
Comparing relevant aspects of Industry 4.0 in relation to strategic planning, key technologies, opportunities, and challenges and the enlightenment for China's manufacturing industries is introduced.Abstract:
Industry 4.0 (the fourth industrial revolution) encapsulates future industry development trends to achieve more intelligent manufacturing processes, including reliance on Cyber-Physical Systems (CPS), construction of Cyber-Physical Production Systems (CPPS), and implementation and operation of smart factories. This paper introduces relevant aspects of Industry 4.0 in relation to strategic planning, key technologies, opportunities, and challenges. Strategic planning includes construction of a CPS network, discussion of two major themes which are based on the smart factory and intelligent production, achieving three integrations (horizontal integration, vertical integration and end-to-end integration) and achieving eight plans which consist of the formulation of system standardization, efficient management etc. Finally, it referred to the enlightenment for China's manufacturing industries, to build China's Industry 4.0.read more
Citations
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Journal ArticleDOI
Industry 4.0: A Survey on Technologies, Applications and Open Research Issues
TL;DR: A comprehensive review on Industry 4.0 is conducted and presents an overview of the content, scope, and findings by examining the existing literatures in all of the databases within the Web of Science.
Journal ArticleDOI
Industry 4.0: state of the art and future trends
TL;DR: The state of the art in the area of Industry 4.0 as it relates to industries is surveyed, with a focus on China's Made-in-China 2025 and formal methods and systems methods crucial for realising Industry 5.0.
Journal ArticleDOI
The expected contribution of Industry 4.0 technologies for industrial performance
Lucas Santos Dalenogare,Guilherme Brittes Benitez,Néstor Fabián Ayala,Alejandro Germán Frank +3 more
TL;DR: In this article, the authors studied how the adoption of different Industry 4.0 technologies is associated with expected benefits for product, operations and side-effects aspects in the Brazilian industry.
Journal ArticleDOI
Literature review of Industry 4.0 and related technologies
Ercan Oztemel,Samet Gürsev +1 more
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.
Journal ArticleDOI
Internet of things and supply chain management: a literature review
TL;DR: This paper explores the role of Internet of Things (IoT) and its impact on supply chain management (SCM) through an extensive literature review and finds that most studies have focused on conceptualising the impact of IoT with limited analytical models and empirical studies.
References
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Proceedings ArticleDOI
Industrie 4.0: Enabling technologies
Jiafu Wan,Hu Cai,Keliang Zhou +2 more
TL;DR: This paper presents an overview of the background, concept, basic methods, major technologies and application scenarios for industrie 4.0, which can closely integrate the physical world with virtual world in the near future.
Proceedings ArticleDOI
Coupling heterogeneous production systems by a multi-agent based cyber-physical production system
TL;DR: This paper proposes an approach that implements the quickly evolving concept of Cyber-Physical Systems for the special case of production systems by means of software agents.
Journal ArticleDOI
Pattern-based Business Model Development for Cyber-Physical Production Systems
TL;DR: A methodology for the pattern-based development and realization of business models in the context of Cyber-Physical Production Systems is presented to make the opportunities of CPPS not only available to big corporations but also to small and medium-sized enterprises.
Assembly Process driven Component Data Model in Cyber-Physical Production Systems
Daniel Strang,Reiner Anderl +1 more
TL;DR: In this article, the relevance of the component data model in assembly processes and on the process models is shown, and the importance of the UML-based modeling method is shown.