Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches
Dominik Kohr, Mussawar Ahmad, Bugra Alkan, Malarvizhi Kaniappan Chinnathai, Lukas Budde, Daniel Vera, Thomas Friedli, Robert Harrison
Abstract
A multiplicity of factors including technological innovations, dynamic operating environments, and globalisation are all believed to contribute towards the ever-increasing complexity of manufacturing systems. Although complexity is necessary to meet functional needs, it is important to assess and monitor it to reduce life-cycle costs by simplifying designs and minimising failure modes. This research paper identifies and describes two key industrially relevant methods for assessing complexity, namely a data-centric approach using the information theoretic method and a human-centric approach based on surveys and questionnaires. The paper goes on to describe the benefits and shortcomings of each and contributes to the body of knowledge by proposing a holistic framework that combines both assessment methods.
DownloadPaper Citation
in Harvard Style
Kohr D., Ahmad M., Alkan B., Kaniappan Chinnathai M., Budde L., Vera D., Friedli T. and Harrison R. (2018). Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches.In Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS, ISBN 978-989-758-297-4, pages 86-93. DOI: 10.5220/0006692000860093
in Bibtex Style
@conference{complexis18,
author={Dominik Kohr and Mussawar Ahmad and Bugra Alkan and Malarvizhi Kaniappan Chinnathai and Lukas Budde and Daniel Vera and Thomas Friedli and Robert Harrison},
title={Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches},
booktitle={Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,},
year={2018},
pages={86-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006692000860093},
isbn={978-989-758-297-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,
TI - Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches
SN - 978-989-758-297-4
AU - Kohr D.
AU - Ahmad M.
AU - Alkan B.
AU - Kaniappan Chinnathai M.
AU - Budde L.
AU - Vera D.
AU - Friedli T.
AU - Harrison R.
PY - 2018
SP - 86
EP - 93
DO - 10.5220/0006692000860093