Proposing a holistic framework for the assessment and management of manufacturing complexity through data-centric and human-centric approaches

Item Type	Conference or Workshop Item (Speech)
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.
Authors	Kohr, Dominik; Ahmad, Mussawar; Alkan, Bugra; Chinnathai, Malarvizhi Kaniappan; Budde, Lukas; Vera, Daniel; Friedli, Thomas & Harrison, Robert
Language	English
Subjects	business studies economics other research area
HSG Profile Area	SoM - Business Innovation
Date	March 2018
Page Range	86-93
Title of Book	Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk
Event Title	3rd International Conference on Complexity, Future Information Systems and Risk
Event Location	Funchal, Madeira, Portugal
Event Dates	20.03.2018 - 21.03.2018
ISBN	978-989-758-297-4
Official URL	http://www.complexis.org/
Depositing User	Dominik Kohr
Date Deposited	30 Apr 2018 13:49
Last Modified	20 Jul 2022 17:35
URI:	https://www.alexandria.unisg.ch/publications/254116

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Kohr, Dominik; Ahmad, Mussawar; Alkan, Bugra; Chinnathai, Malarvizhi Kaniappan; Budde, Lukas; Vera, Daniel; Friedli, Thomas & Harrison, Robert: Proposing a holistic framework for the assessment and management of manufacturing complexity through data-centric and human-centric approaches. [Conference or Workshop Item]

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https://www.alexandria.unisg.ch/id/eprint/254116

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