Collaborative Networks as a Core Enabler of Industry 4.0

Camarinha-Matos, Luís M.; Fornasiero, Rosanna; Afsarmanesh, Hamideh

doi:10.1007/978-3-319-65151-4_1

Cited by 110 publications

(87 citation statements)

References 45 publications

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“…Complementarily, through active leading role in a series of recent conferences (PRO-VE: Working Conference on Virtual Enterprises and DoCEIS: Advanced Doctoral Conference on Computing, Electrical and Industrial Systems), the authors organized various focused discussions on the trends in smart and sustainable manufacturing, and next generation of CNs, and collected feedback to refine and consolidate the findings presented in this article. As a starting point, a position paper [7] was discussed, followed by discussions in focus groups on the topics of Digital Transformation and CNs along the last three years.…”

Section: Methodsmentioning

confidence: 99%

“…In the literature, Industry 4.0 is often discussed in reference to 4 main dimensions, i.e., [7]: (1) "vertical integration/networking", (2) "horizontal integration/networking", (3) "through-engineering", and (4) "acceleration of manufacturing" [1,16]. Some publications also refer two additional dimensions: (5) "digitalization of products and services", and (6) "new business models and customer involvement" [17].…”

Section: Industry 40 and Digital Transformationmentioning

confidence: 99%

“…These models explore new possibilities offered by technology and foster closer "digital relationships" with more demanding and empowered customers. Furthermore, they "accelerate globalization but with distinct local/regional flavors" [7,17]. For instance, the platform-based economy [27], big data-driven value chain [28], sharing economy, software as a service, etc., are some of the models under discussion both at scientific and industrial level to fully exploit the potential of digitalization.…”

Section: Industry 40 and Digital Transformationmentioning

confidence: 99%

“…This comes from leveraging the synergies of multi-disciplinary contributions, promoting wide multi-stakeholder discussions on new industry directions, sharing of experiences, and identification of new opportunities, as evidenced by the large number of academic and business-oriented publications on Industry 4.0. The wide interest for the area also created "opportunities for attracting new political and financial support" [7]. This is clearly shown by the fact that many countries have launched specific development programs on Industry 4.0 and digital transformation.…”

Section: Introductionmentioning

confidence: 99%

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Collaborative Networks: A Pillar of Digital Transformation

et al. 2019

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The notion of digital transformation encompasses the adoption and integration of a variety of new information and communication technologies for the development of more efficient, flexible, agile, and sustainable solutions for industrial systems. Besides technology, this process also involves new organizational forms and leads to new business models. As such, this work addresses the contribution of collaborative networks to such a transformation. An analysis of the collaborative aspects required in the various dimensions of the 4th industrial revolution is conducted based on a literature survey and experiences gained from several research projects. A mapping between the identified collaboration needs and research results that can be adopted from the collaborative networks area is presented. Furthermore, several new research challenges are identified and briefly characterized. Author Contributions: Conceptualization, L.M.C.-M.; methodology, L.M.C.-M. and R.F.; writing-drafting Section 3, R.F. and L.M.C.-M.; writing-drafting Section 4, F.F. and L.M.C.-M.; writing-drafting Sections 5 and 7, L.M.C.-M.; writing-drafting Section 6, J.R. and L.M.C.-M.; writing-inputs for Sections 1 and 8, all authors; writing-reviewing and editing, all authors; funding acquisition, L.M.C.-M.Funding: This work was funded in part by the Portuguese "Fundação para a Ciência e Tecnologia" "Strategic program UID/EEA/00066/2019" (CTS project), by the SOCOLNET society (ARCON-ACM project), and by the project POCI-01-0247-FEDER-033926 (Future Yammi).

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Section: Methodsmentioning

confidence: 99%

Section: Industry 40 and Digital Transformationmentioning

confidence: 99%

Section: Industry 40 and Digital Transformationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Collaborative Networks: A Pillar of Digital Transformation

et al. 2019

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“…Industry 4.0 has integrated many new manufacturing concepts, usually related to technologies, and it can be seen "from the lens of collaborative networks", connecting manufacturing systems, products, value chains, etc. It is necessary to understand the interactions among Industry 4.0 networks to reach effectiveness, agility, and resilience of future systems (Camarinha-Matos et al, 2017). Based on that, it is possible to understand that Industry 4.0 networks can have different topological structures, related to their nodes connectivity.…”

Section: Introductionmentioning

confidence: 99%

How connectivity and search for producers impact production in Industry 4.0 networks

Pereira

Simonetto

Putnik

et al. 2018

BJO&PM

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Technological evolutions lead to changes in production processes; the Fourth Industrial Revolution has been called Industry 4.0, as it integrates Cyber-Physical Systems and the Internet of Things into supply chains. Large complex networks are the core structure of Industry 4.0: any node in a network can demand a task, which can be answered by one node or a set of them, collaboratively, when they are connected. In this paper, the aim is to verify how (i) network's connectivity (average degree) and (ii) the number of levels covered in nodes search impacts the total of production tasks completely performed in the network. To achieve the goal of this paper, two hypotheses were formulated and tested in a computer simulation environment developed based on a modeling and simulation study. Results showed that the higher the network's average degree is (their nodes are more connected), the greater are the number of tasks performed; in addition, generally, the greater are the levels defined in the search for nodes, the more tasks are completely executed. This paper's main limitations are related to the simulation process, which led to a simplification of production process. The results found can be applied in several Industry 4.0 networks, such as additive manufacturing and collaborative networks, and this paper is original due to the use of simulation to test this kind of hypotheses in an Industry 4.0 production network.

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