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Authors: Karel Bauters ; Hendrik Van Landeghem ; Maarten Slembrouck ; Dimitri Van Cauwelaert and Dirk Van Haerenborgh

Affiliation: Ghent University, Belgium

Keyword(s): Manufacturing, Production Engineering, Complexity, Image Processing, Time Series Analysis, Dynamic Time Warping, Visual Hull.

Related Ontology Subjects/Areas/Topics: Computer-Based Manufacturing Technologies ; Image Processing ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent Fault Detection and Identification ; Performance Evaluation and Optimization ; Robotics and Automation

Abstract: The trend towards mass customization has led to a significant increase of the complexity of manufacturing systems. Models to evaluate the complexity have been developed, but the complexity analysis of work stations is still done manually. This paper describes an automated analysis tool that makes us of multi-camera video images to support the complexity analysis of assembly line work stations.

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Paper citation in several formats:
Bauters, K.; Van Landeghem, H.; Slembrouck, M.; Van Cauwelaert, D. and Van Haerenborgh, D. (2014). An Automated Work Cycle Classification and Disturbance Detection Tool for Assembly Line Work Stations. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-040-6; ISSN 2184-2809, SciTePress, pages 685-691. DOI: 10.5220/0005024406850691

@conference{icinco14,
author={Karel Bauters. and Hendrik {Van Landeghem}. and Maarten Slembrouck. and Dimitri {Van Cauwelaert}. and Dirk {Van Haerenborgh}.},
title={An Automated Work Cycle Classification and Disturbance Detection Tool for Assembly Line Work Stations},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2014},
pages={685-691},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005024406850691},
isbn={978-989-758-040-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - An Automated Work Cycle Classification and Disturbance Detection Tool for Assembly Line Work Stations
SN - 978-989-758-040-6
IS - 2184-2809
AU - Bauters, K.
AU - Van Landeghem, H.
AU - Slembrouck, M.
AU - Van Cauwelaert, D.
AU - Van Haerenborgh, D.
PY - 2014
SP - 685
EP - 691
DO - 10.5220/0005024406850691
PB - SciTePress

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