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PURPOSE
Identify and prioritize targets for the application of artificial intelligence in the ceramic industry to improve its productivity and sustainability.
Typology: Industrial Research
Final Result: FR4 | Reference framework for structured and targeted deployment of AI technologies in the ceramics industry.
Responsible Partner: Sacmi
Duration: 30 months
Operative Units: Imola (BO)
DESCRIPTION
WP 4 is to apply artificial intelligence (AI) tools to identify and classify hidden patterns in the operational and performance data of manufacturing systems in the ceramics sector.
The goal is to identify the most promising use cases for the use of AI to improve the productivity and sustainability of the industry, particularly from an environmental and energy perspective.
Different methodologies will be used to identify the most suitable algorithms and develop an IoT technology infrastructure to enable data collection and processing.
The results of the research will provide a framework for the structured application of AI technologies in the ceramics industry, accelerating the transition to Intelligent Manufacturing and contributing to reduced process variability and increased product quality, resulting in reduced process waste and increased sustainability.
ACTIVITIES
In order to achieve the purpose of the WP, the activities described below have been planned.
4.1 Identification of appropriate use cases for the application of AI tools in the Ceramic sector.Mapping of Use Cases to be considered in the ceramic context.4.2 Analysis of the most suitable AI algorithms with respect to the identified use cases.Mapping algorithms and frameworks for choice with respect to use cases.4.3 Definition and mapping of key variables to be considered for feeding the algorithmsMapping of data and defects to be considered in the ceramic context.4.4 Definition and design of a reference IoT edge-cloud hybrid infrastructureDefinition of a reference software architecture.
RESULTS
Below are the results achieved to date:
4.1 Identification of appropriate use cases for the application of AI tools in the Ceramic sector.
WP 4.1 activities have led to the mapping of Use Cases to be taken into account in the ceramic context for the application of AI tools.
Research has highlighted how AI can be the key to creating applications that support operators in the operational management of their machines, bridging the gaps and difficulties that mostly impact the daily management of a ceramic plant today. These include the need to resort to numerous off-line quality controls, difficulty in finding specific skills, the need for continuous product innovation, and the need to promptly address process variability that can interfere with the reliability of the lines or the quality of the product.
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