Digital twin and predictive quality solution for insulated glass line

Gülcan Aydin (), Mehmet Tezcan, Bayram Ozgen and Tuğçe Nur Özkan
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Gülcan Aydin: CMS Glass Machinery
Mehmet Tezcan: CMS Glass Machinery
Bayram Ozgen: CMS Glass Machinery
Tuğçe Nur Özkan: Simtera Informatics Communications Tech. Ltd. Co

Journal of Intelligent Manufacturing, 2025, vol. 36, issue 5, No 31, 3543-3567

Abstract: Abstract This study is an integral part of an international research and development initiative investigating the application of digital twins and predictive quality solutions to enhance quality control and streamline production processes within the insulating glass manufacturing industry. The critical factor influencing the transformation of insulating glass into a high-quality, energy-efficient product is the gas filling rate. Therefore, this study focuses on the real-time monitoring and analysis of the gas filling process. Concurrently, predictive quality solutions are implemented to improve product quality and reduce defects. Consequently, it is evident that these technologies hold significant potential to advance the quality of insulating glass production and promote sustainable production practices on an international scale.

Keywords: Digital twin; Predictive quality; Insulated glass manufacturing; Gas filling process; Quality control; Production process (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10845-024-02426-y

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