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.

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Paper 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