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A Platform Architecture for Data- and AI-supported human-centred Zero Defect Manufacturing for Sustainable Production

René Berndt, Doriana Cobârzan, Eva Eggeling

Year
2024
Citations
4

Abstract

The challenge for manufacturing companies lies in efficiently adapting to economic, ecological, and social sustainability while maintaining a competitive edge in the global market, despite the rapid advancements in information, communication, and resource-efficient production processes utilizing robotics and AI-based methods. The key question is: How can knowledge regarding feasibility and implementation possibilities be effectively transferred? In our paper, we propose a platform architecture designed to facilitate knowledge exchange and transfer between technology providers and the manufacturing industry. The platform facilitates the dissemination of innovative methods and technologies, improving collaboration and operational efficiency It will also serve as a repository for insights and experiences from technology implementation, making this knowledge accessible for internal and industry-wide use. The goal is to create a sustainable ecosystem for continuous improvement and competitive advantage in manufacturing, by matching technologies and methodologies to specific production needs using algorithms and tracking sustainability metrics.

Keywords

ArchitectureZero (linguistics)Production (economics)Zero emissionManufacturing engineeringComputer scienceComputer architectureEngineeringArtElectrical engineering

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