@inproceedings{178b115edbfd45bb8963c85e36677eb1,
title = "Proposing a holistic framework for the assessment and management of manufacturing complexity through data-centric and human-centric approaches",
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.",
keywords = "Complexity Drivers, Complexity Management, Manufacturing Complexity, Production",
author = "Dominik Kohr and Mussawar Ahmad and Bugra Alkan and Chinnathai, {Malarvizhi Kaniappan} and Lukas Budde and Daniel Vera and Thomas Friedli and Robert Harrison",
year = "2018",
month = jan,
day = "1",
language = "English",
series = "COMPLEXIS 2018 - Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk",
publisher = "SciTePress",
pages = "86--93",
editor = "Muthu Ramachandran and Victor Chang and Munoz, {Victor Mendez}",
booktitle = "COMPLEXIS 2018 - Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk",
note = "3rd International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2018 ; Conference date: 20-03-2018 Through 21-03-2018",
}