The increasing complexity of parts and the growing quality requirements pose new challenges for today's manufacturing industry. Multi-Stage Production Systems, which are known for complex links and sequences of many different process steps, must be adapted to these requirements. This means, being cost-effective and flexible while still meeting high quality standards. The idea of Zero-Defect Manufacturing aims to reduce scrap, rework and special operations by analyzing and optimizing multi-stage production systems through data-driven and learning-based approaches. A Knowledge Capturing Platform concept is introduced to extract a deeper understanding from collected data with inter-stage correlation methods, part variation approaches along the line and intelligent monitoring systems.

Knowledge Capturing Platform in Multi-Stage Production Systems for Zero-Defect Manufacturing

Colledani, Marcello;
2019-01-01

Abstract

The increasing complexity of parts and the growing quality requirements pose new challenges for today's manufacturing industry. Multi-Stage Production Systems, which are known for complex links and sequences of many different process steps, must be adapted to these requirements. This means, being cost-effective and flexible while still meeting high quality standards. The idea of Zero-Defect Manufacturing aims to reduce scrap, rework and special operations by analyzing and optimizing multi-stage production systems through data-driven and learning-based approaches. A Knowledge Capturing Platform concept is introduced to extract a deeper understanding from collected data with inter-stage correlation methods, part variation approaches along the line and intelligent monitoring systems.
2019
Proceedings of the 2018 25th International Conference on Mechatronics and Machine Vision in Practice
9781538675441
Data Analysis; Intelligent Manufacturing; Knowledge Acquisition; Production Systems; 1707; Electrical and Electronic Engineering; Mechanical Engineering; Modeling and Simulation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1076760
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