{"id":{"repo_id":"uwtsd","oai_identifier":"oai:repository.uwtsd.ac.uk:3036"},"canonical_url":"https://search.dev.ndltd.org/etd/uwtsd/oai:repository.uwtsd.ac.uk:3036","repository":{"repo_id":"uwtsd","name":"University of Wales Trinity Saint David","base_url":"https://repository.uwtsd.ac.uk/cgi/oai2"},"display":{"title":"Automated throughput optimisation: a cost effective I4.0 solution","abstract":"The escalating consumer demand for cost-effective, high-quality products has compelled manufacturers to enhance efficiency while curbing expenses. The emergence of Industry 4.0 (I4.0) technologies has ushered in an era of closed loop manufacturing, enabled by real-time data processing and feedback. However, the prohibitive costs of I4.0 tools often restrict access for smaller manufacturers and machine shops. Additionally, the shift to I4.0 necessitates a distinct skill set, further disadvantaging smaller players. This research proposes an innovative approach leveraging existing resources. By introducing a method that integrates a touch trigger probe with aging, albeit, functional CNC machines, establishing a closed loop system. Through intelligent G-code utilisation, this system automates the recording and management of Process Control Indicators (PCIs) while optimising inspection frequencies and throughput. By adopting this method, manufacturers can embrace I4.0 methodologies without the burden of substantial capital expenditure or extensive workforce upskilling. This study not only offers an immediate solution for manufacturers but also serves as a pioneering model for wider I4.0 adoption. By highlighting the potential of repurposing existing machinery, this research highlights a path toward increased efficiency, competitiveness, and accessibility in the manufacturing landscape.","abstract_html":"The escalating consumer demand for cost-effective, high-quality products has compelled manufacturers to enhance efficiency while curbing expenses. 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