Intelligent Processes in Automated Production Involving Industry 4.0 Technologies and Artificial Intelligence

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Author(s): Alessandro Massaro (Dyrecta Lab srl, Italy), Nicola Contuzzi (Dyrecta Lab srl, Italy)and Angelo Galiano (Dyrecta Lab srl, Italy)
Copyright: 2020
Pages: 26
Source title: Advanced Robotics and Intelligent Automation in Manufacturing
Source Author(s)/Editor(s): Maki K. Habib (The American University in Cairo, Egypt)
DOI: 10.4018/978-1-7998-1382-8.ch004

Keywords: Engineering Science Reference / Knowledge Management and Library Science / Manufacturing / Robotics and Automated Systems

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Abstract

The chapter presents different case studies involving technology upgrading involving Industry 4.0 technologies and artificial intelligence. The work analyzes four cases of study of industry projects related to manufacturing process of kitchen, tank production, pasta production, and electronic welding check. All the cases of study concern the analysis of engineered processes and the inline implementation of image vision techniques. The chapter discusses other topics involved in the production process such as augmented reality, quality prediction and predictive maintenance. The classic methodologies to map production processes are matched with innovative technologies of image segmentation and data mining predicting defects, machine failures, and product quality. The goal of the chapter is to prove how the combination of image processing techniques, data mining approaches, process simulation, chart process modeling, and process reengineering can constitute a scientific research project in industry research.

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Intelligent Processes in Automated Production Involving Industry 4.0 Technologies and Artificial Intelligence

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