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Open AccessArticle

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

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General Department, National and Kapodistrian University of Athens, Sterea Ellada, 34400 Dirfies Messapies, Greece
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Department of Information Technology/Internet Technology and Data Science Lab, Ghent University-Imec, Technologiepark 126, B-9052 Gent, Belgium
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Faculty of Computer Science, Department of Information and Communication Engineering, University of Murcia, 30003 Murcia, Spain
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Odin Solutions (OdinS), 30820 Alcantarilla, Murcia, Spain
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Pressious Arvanitidis, Kifissias Avenue 304, 152 32 Chalandri, Athens, Greece
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Atos Spain S.A., Research and Innovation Department, Albarracín 25, 28037 Madrid, Spain
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Tractonomy Robotics, 8500 Kortrijk, Belgium
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TEKNIKER, Basque Research and Technology Alliance (BRTA), Iñaki Goenaga 5, 20600 Eibar, Spain
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Siemens AG Austria, Siemensstraße 90, 1210 Wien, Austria
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Whirlpool, Benton Harbor, MI 49022, USA
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Department of Industrial Design and Production Engineering, School of Engineering, University of West Attica, 12244 Athens, Greece
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Department of Informatics and Computer Engineering, School of Engineering, University of West Attica, 12243 Athens, Greece
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(19), 5480; https://doi.org/10.3390/s20195480
Received: 28 August 2020 / Revised: 18 September 2020 / Accepted: 22 September 2020 / Published: 24 September 2020
(This article belongs to the Special Issue The Impact of Emerging Technologies on Sensor-Based Systems/Solutions)
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and information technology (IT) systems are used in data-driven analytics efforts to support more informed business intelligence decisions. However, these results are currently only used in isolated and dispersed parts of the production process. At the same time, full integration of artificial intelligence (AI) in all parts of manufacturing systems is currently lacking. In this context, the goal of this manuscript is to present a more holistic integration of AI by promoting collaboration. To this end, collaboration is understood as a multi-dimensional conceptual term that covers all important enablers for AI adoption in manufacturing contexts and is promoted in terms of business intelligence optimization, human-in-the-loop and secure federation across manufacturing sites. To address these challenges, the proposed architectural approach builds on three technical pillars: (1) components that extend the functionality of the existing layers in the Reference Architectural Model for Industry 4.0; (2) definition of new layers for collaboration by means of human-in-the-loop and federation; (3) security concerns with AI-powered mechanisms. In addition, system implementation aspects are discussed and potential applications in industrial environments, as well as business impacts, are presented. View Full-Text
Keywords: industry 4.0; artificial intelligence; IoT manufacturing; smart sensing; sensing-based IIoT industry 4.0; artificial intelligence; IoT manufacturing; smart sensing; sensing-based IIoT
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MDPI and ACS Style

Trakadas, P.; Simoens, P.; Gkonis, P.; Sarakis, L.; Angelopoulos, A.; Ramallo-González, A.P.; Skarmeta, A.; Trochoutsos, C.; Calvο, D.; Pariente, T.; Chintamani, K.; Fernandez, I.; Irigaray, A.A.; Parreira, J.X.; Petrali, P.; Leligou, N.; Karkazis, P. An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications. Sensors 2020, 20, 5480. https://doi.org/10.3390/s20195480

AMA Style

Trakadas P, Simoens P, Gkonis P, Sarakis L, Angelopoulos A, Ramallo-González AP, Skarmeta A, Trochoutsos C, Calvο D, Pariente T, Chintamani K, Fernandez I, Irigaray AA, Parreira JX, Petrali P, Leligou N, Karkazis P. An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications. Sensors. 2020; 20(19):5480. https://doi.org/10.3390/s20195480

Chicago/Turabian Style

Trakadas, Panagiotis; Simoens, Pieter; Gkonis, Panagiotis; Sarakis, Lambros; Angelopoulos, Angelos; Ramallo-González, Alfonso P.; Skarmeta, Antonio; Trochoutsos, Christos; Calvο, Daniel; Pariente, Tomas; Chintamani, Keshav; Fernandez, Izaskun; Irigaray, Aitor A.; Parreira, Josiane X.; Petrali, Pierluigi; Leligou, Nelly; Karkazis, Panagiotis. 2020. "An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications" Sensors 20, no. 19: 5480. https://doi.org/10.3390/s20195480

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