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A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises

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TLDR
In this paper, the authors propose an empirically grounded model and its implementation to assess the Industry 4.0 maturity of industrial enterprises in the domain of discrete manufacturing by including organizational aspects.
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This article is published in Procedia CIRP.The article was published on 2016-01-01 and is currently open access. It has received 966 citations till now. The article focuses on the topics: Service Integration Maturity Model & Capability Maturity Model.

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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.
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The expected contribution of Industry 4.0 technologies for industrial performance

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.
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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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Industry 4.0 – A Glimpse

TL;DR: In this paper, the authors provide an overview of Industry 4.0 with its applications and identify the challenges and issues occurring with implementation of Industry4.0 and to study the new trends and streams related to Industry 4,0.
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The future of manufacturing industry: a strategic roadmap toward Industry 4.0

TL;DR: In this paper, the authors conduct a systematic and content-centric review of literature based on a six-stage approach to identify key design principles and technology trends of Industry 4.0.
References
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Journal ArticleDOI

Digitalization and intelligentization of manufacturing industry

TL;DR: Zhou et al. as mentioned in this paper pointed out that with the emerging technologies, in 20 years' time China’s manufacturing industry will very likely experience the budding difficulties faced by the U.S. during the past 20 years.
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Optimization of selective assembly and adaptive manufacturing by means of cyber-physical system based matching

TL;DR: In this paper, a holistic matching approach to optimize the performance of selective and adaptive assembly systems is presented and its industrial application within an automotive electric drive assembly is demonstrated, where the authors show that the matching approach can be applied to an industrial application of electric drive assemblies.
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Global Footprint Design based on genetic algorithms – An “Industry 4.0” perspective

TL;DR: This article analyzes a series of different cost-optimized scenarios for several points of time in the future with distinct parameter settings and compares its network structures to identify a path in the trade-off between the costs for migrating a network structure into another one and the total landed costs of the regarded series of future network scenarios.
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Befähigungs- und Einführungsstrategien für Industrie 4.0

TL;DR: In this paper, a survey on the integration of Industrie 4.0 is presented, in which Unternehmen, insbesondere den deutschen Mittelstand, mithilfe eines reifegradbasierten Handlungsleitfadens, bei der Einfuhrung individuell zugeschnittener Industrie4.0-Methoden und der Bewaltigung der dabei entstehenden Herausforderungen unterstutzt.
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Assessment of Lean Maturity Level in Manufacturing Cells

TL;DR: In this paper, a visual, data-driven operational level lean maturity model is developed, which can be used to assess the level of lean in seven axes of manufacturing cells and can be applied by practitioners as a framework to design and develop a company-specific Lean maturity model.
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