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.
%0 Conference Paper
%1 8600910
%A Eger, Florian
%A Reiff, Colin
%A Colledani, Marcello
%A Verl, Alexander
%B 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
%D 2018
%K Extraction ISW Knowledge Manufacturingsend:unibiblio
%P 1-6
%R 10.1109/M2VIP.2018.8600910
%T Knowledge Capturing Platform in Multi-Stage Production Systems for Zero-Defect Manufacturing
%U https://ieeexplore.ieee.org/document/8600910/
%X 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.
@inproceedings{8600910,
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.},
added-at = {2019-01-17T15:17:10.000+0100},
author = {Eger, Florian and Reiff, Colin and Colledani, Marcello and Verl, Alexander},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f0fba88088e83951962c12edc570a29f/isw-bibliothek},
booktitle = {2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)},
doi = {10.1109/M2VIP.2018.8600910},
interhash = {0674ac08a586d9e89bbbc35821a94866},
intrahash = {f0fba88088e83951962c12edc570a29f},
keywords = {Extraction ISW Knowledge Manufacturingsend:unibiblio},
month = nov,
pages = {1-6},
timestamp = {2019-01-20T12:11:40.000+0100},
title = {Knowledge Capturing Platform in Multi-Stage Production Systems for Zero-Defect Manufacturing},
url = {https://ieeexplore.ieee.org/document/8600910/},
year = 2018
}
