Quo Vadis Industry 4.0? Position, Trends, and Challenges

Leitão, Paulo; Pires, Flávia; Karnouskos, Stamatis; Colombo, Armando Walter

doi:10.1109/ojies.2020.3031660

Cited by 20 publications

(12 citation statements)

References 57 publications

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“…Industrial standards are used to measure the performance and manage the quality of the product and services. In order to fill this gap, our study focuses on how the manufacturing industries are using different industrial standards to measure the performance and manage the quality of the product and services [ 48 , 51 , 52 , 53 , 54 ].…”

Section: Introductionmentioning

confidence: 99%

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Tambare¹,

Meshram²,

Lee

et al. 2021

Sensors

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The birth of mass production started in the early 1900s. The manufacturing industries were transformed from mechanization to digitalization with the help of Information and Communication Technology (ICT). Now, the advancement of ICT and the Internet of Things has enabled smart manufacturing or Industry 4.0. Industry 4.0 refers to the various technologies that are transforming the way we work in manufacturing industries such as Internet of Things, cloud, big data, AI, robotics, blockchain, autonomous vehicles, enterprise software, etc. Additionally, the Industry 4.0 concept refers to new production patterns involving new technologies, manufacturing factors, and workforce organization. It changes the production process and creates a highly efficient production system that reduces production costs and improves product quality. The concept of Industry 4.0 is relatively new; there is high uncertainty, lack of knowledge and limited publication about the performance measurement and quality management with respect to Industry 4.0. Conversely, manufacturing companies are still struggling to understand the variety of Industry 4.0 technologies. Industrial standards are used to measure performance and manage the quality of the product and services. In order to fill this gap, our study focuses on how the manufacturing industries use different industrial standards to measure performance and manage the quality of the product and services. This paper reviews the current methods, industrial standards, key performance indicators (KPIs) used for performance measurement systems in data-driven Industry 4.0, and the case studies to understand how smart manufacturing companies are taking advantage of Industry 4.0. Furthermore, this article discusses the digitalization of quality called Quality 4.0, research challenges and opportunities in data-driven Industry 4.0 are discussed.

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Section: Introductionmentioning

confidence: 99%

Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review

Tambare¹,

Meshram²,

Lee

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…Data accessibility. Additional specific information and results supporting this paper can be found in [2,9,10,29]. Authors' contributions.…”

Section: Discussionmentioning

confidence: 88%

“…6. Sustainability and circular economy in Industry 4.0 context I4.0 is complex and comprises of a large collection of technologies [2], and concepts that have socio-technical angles and impacts that pertain to technological, social and organizational aspects [47]. Efforts in I4.0 have moved well beyond the realm of research.…”

Section: Innovations Towards Capability-oriented Industry 40 Infrastructurementioning

confidence: 99%

“…Its scientific, technical, social and cultural effects are affecting businesses, people and society. This is labelled as the fourth industrial revolution, conceptually and also technically associated with several efforts such as ‘Industry 4.0’, ‘Internet-of-Things’, ‘Internet-of-Services’, ‘Industrial Cyber-Physical Systems’, ‘Smart Manufacturing’, ‘Digital Transformation’ [1,2]. The digitalization and networking pursued give rise to large-scale collaborative ecosystems that have the potential to create value for all stakeholders involved and impact not only the industry but also the society at large [3].…”

Section: Digitalization and Networking Of The Economymentioning

confidence: 99%

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Engineering human-focused Industrial Cyber-Physical Systems in Industry 4.0 context

Colombo

Karnouskos

Hänisch

2021

Phil. Trans. R. Soc. A.

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The world is increasingly interconnected, and this can also be seen in industry, where an ecosystem of digitalized assets, and humans with appropriate digital interfaces, constantly interact with each other. Digital transformation efforts in the industry rely on Industrial Cyber-Physical Systems that are driven by service-based cooperation among humans and digitalized industrial assets. This implies a radical paradigm change in their engineering and operation, which is focused on the symbiosis of digitalized assets and humans that cohabit a collaboration-driven industrial ecosystem. This work discusses how a digital transformation can effectively be achieved in an industrial ecosystem via a digitalization process performed along the three dimensions of the Reference Architecture Model for Industry 4.0, facilitated by the specification, development and implementation of an Asset Administration Shell. The discussion focus is put on humans and how the digitally transformed industrial environments empower her/his capabilities and interactions. It is also critically pointed out how one should go beyond technology and consider additional aspects. Therefore, it is argued that human-centred efforts in Industry 4.0 (I4.0) should be seen in the larger context of sustainability and circular economy in order to properly consider the interplay of the involved socio-technical dimensions. This article is part of the theme issue ‘Towards symbiotic autonomous systems’.

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“…Guest Editorial Industrial Agents: Concepts, Technologies, and Applications I. INTRODUCTION R APID technology advances combined with the increasing digitalization bring new opportunities but also put new challenges to modern industrial systems, especially considering the digital transformation towards Industry 4.0 [1]. Software agents [2], [3] have been used to address the multiangled needs of envisioned industrial cyber-physical systems (ICPS) in several domains, e.g., in manufacturing, smart cities, energy, and logistics.…”

mentioning

confidence: 99%