Sensors, Vol. 20, Pages 5480: An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

Sensors, Vol. 20, Pages 5480: An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications Sensors doi: 10.3390/s20195480 Authors: Panagiotis Trakadas Pieter Simoens Panagiotis Gkonis Lambros Sarakis Angelos Angelopoulos Alfonso P. Ramallo-González Antonio Skarmeta Christos Trochoutsos Daniel Calvο Tomas Pariente Keshav Chintamani Izaskun Fernandez Aitor Arnaiz Irigaray Josiane Xavier Parreira Pierluigi Petrali Nelly Leligou Panagiotis Karkazis 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 se...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research