Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches

Conference paper


Alkan, B. (2018). Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches. Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2018).
AuthorsAlkan, B.
TypeConference paper
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.

Year2018
Web address (URL)http://wrap.warwick.ac.uk/97395/7/WRAP-proposing-holistic-framework-complexity-data-centric-Ahmad-2018.pdf
Publisher's version
File Access Level
Open
Publication dates
Print2018
Publication process dates
Accepted2018
Deposited21 Sep 2021
ISBN978-989-758-297-4
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https://openresearch.lsbu.ac.uk/item/8v1w9

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