Industry 4.0
19 Jun 2014-Vol. 6, Iss: 4, pp 239-242
About: This article is published in Web Intelligence.The article was published on 2014-06-19 and is currently open access. It has received 2526 citations till now. The article focuses on the topics: Heavy industry & Industry 4.0.
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05 Jan 2016
TL;DR: Design principles of Industrie 4.0 are identified so that academics may be enabled to further investigate on the topic, while practitioners may find assistance in identifying appropriate scenarios.
Abstract: The increasing integration of the Internet of Everything into the industrial value chain has built the foundation for the next industrial revolution called Industrie 4.0. Although Industrie 4.0 is currently a top priority for many companies, research centers, and universities, a generally accepted understanding of the term does not exist. As a result, discussing the topic on an academic level is difficult, and so is implementing Industrie 4.0 scenarios. Based on a quantitative text analysis and a qualitative literature review, the paper identifies design principles of Industrie 4.0. Taking into account these principles, academics may be enabled to further investigate on the topic, while practitioners may find assistance in identifying appropriate scenarios. A case study illustrates how the identified design principles support practitioners in identifying Industrie 4.0 scenarios.
1,954 citations
Cites background from "Industry 4.0"
...0 promises substantially increased operational effectiveness as well as the development of entirely new business models, services, and products [2] [4] [5]....
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...0” is not well-known outside the German-speaking area [5], it is worth to look at comparable ideas in the Anglo-Saxon world....
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...Enabled by the increasing number of interconnected objects and people [5], the fusion of the physical and virtual world enables a new form of information transparency [11]....
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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.
1,906 citations
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.
Abstract: Rapid advances in industrialisation and informatisation methods have spurred tremendous progress in developing the next generation of manufacturing technology. Today, we are on the cusp of the Fourth Industrial Revolution. In 2013, amongst one of 10 ‘Future Projects’ identified by the German government as part of its High-Tech Strategy 2020 Action Plan, the Industry 4.0 project is considered to be a major endeavour for Germany to establish itself as a leader of integrated industry. In 2014, China’s State Council unveiled their ten-year national plan, Made-in-China 2025, which was designed to transform China from the world’s workshop into a world manufacturing power. Made-in-China 2025 is an initiative to comprehensively upgrade China’s industry including the manufacturing sector. In Industry 4.0 and Made-in-China 2025, many applications require a combination of recently emerging new technologies, which is giving rise to the emergence of Industry 4.0. Such technologies originate from different disciplines ...
1,780 citations
Cites background from "Industry 4.0"
...…industrial information integration and other related technologies (Li 1999; Jasperneite 2012; Kagermann, Wahlster, and Helbig 2013; GTAI 2014; Lasi et al. 2014; Arnold, Kiel, and Voigt 2016; Hermann, Pentek, and Otto 2016; Ivanov and Muminova 2016a, 2016b; Lu 2016; Oliveira and Álvares 2016;…...
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...…technologies in the manufacturing industry, and it mainly includes enabling technologies such as the cyberphysical systems (CPS), Internet of Things (IoT) and cloud computing (Hermann, Pentek, and Otto 2016; Jasperneite 2012; Kagermann, Wahlster, and Helbig 2013; Lasi et al. 2014; Lu 2017a, 2017b)....
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...Industry 4.0 is mainly represented by CPS, IoT and cloud computing (Jasperneite 2012; Kagermann, Wahlster, and Helbig 2013; Lasi et al. 2014; Hermann, Pentek, and Otto 2016; Moeuf et al. 2017), however, it will also rely on smart devices in addition to IoT, CPS, cloud computing and BPM (business…...
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TL;DR: This paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing and describes worldwide movements in intelligent manufacturing.
1,602 citations
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.
1,024 citations
References
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TL;DR: The research steps and future work in giving reality to the envisioned Smart Factory at the Universitat Stuttgart are presented.
Abstract: The Stuttgart Model of adaptive, transformable and virtual factories, already implemented in German basic research performed at the Universitat Stuttgart has been extended with a new perspective, the so-called “Smart Factory”. The Smart Factory approach is a new dimension of multi-scale manufacturing by using the state-of-the-art ubiquitous/pervasive computing technologies and tools. The Smart Factory represents a context-sensitive manufacturing environment that can handle turbulences in real-time production using decentralized information and communication structures for an optimum management of production processes. This paper presents our research steps and future work in giving reality to the envisioned Smart Factory at the Universitat Stuttgart.
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01 Jan 2010TL;DR: The study results motivate an integration framework for MES and BI systems, and sheds light on whether or not BI systems and MES are at odds and in how far they are complementary.
Abstract: In the domain of production, Manufacturing Execution Systems (MES) are becoming increasingly popular. State of the art MES not only bring interfaces to a large variety of shop floor systems, they also come with functionality for data integration, data analysis, and dashboard generation – features commonly associated with Business Intelligence (BI) systems. At the same time, Data Warehouse (DHW) based BI infrastructures are increasingly extended to the support of operational managerial levels (Operational BI). This contribution sheds light on whether or not BI systems and MES are at odds and in how far they are complementary. To achieve this, two subsequent studies have been conducted: a case study based exploration and a quantitative online survey. The study results motivate an integration framework for MES and BI systems.
31 citations
01 Jan 2014
TL;DR: The platform stack for mass customization is discussed and it is shown how a customized smart product can serve as a platform for personalized smart services that are based on smart data provided by the connected product.
Abstract: We discuss the key role of semantic technologies for the mass customization of smart products, smart data, and smart services. It is shown that new semantic representation languages for the description of services and product memories like USDL and OMM provide the glue for integrating the Internet of Things, the Internet of Data, and the Internet of Services. Semantic service matchmaking in cyber-physical production systems is presented as a key enabler of the disruptive change in the production logic for Industrie 4.0. Finally, we discuss the platform stack for mass customization and show how a customized smart product can serve as a platform for personalized smart services that are based on smart data provided by the connected product.
27 citations