A framework for designing data pipelines for manufacturing systems

dc.contributor.author	Oleghe, Omogbai
dc.contributor.author	Salonitis, Konstantinos
dc.date.accessioned	2020-09-24T10:18:41Z
dc.date.available	2020-09-24T10:18:41Z
dc.date.issued	2020-09-22
dc.description.abstract	Data pipelines describe the path through which big data is transmitted, stored, processed and analyzed. Designing an appropriate data pipeline for a specific data driven manufacturing project can be challenging, whereas there is a paucity of frameworks to guide one in the design. In this research we develop a framework for designing data pipelines for manufacturing systems. The framework consists of a template for selecting key layers and components that make up big data pipelines in manufacturing systems. A use case is presented to provide an illustrative guideline for its application. Benefits of the framework and future directions are discussed	en_UK
dc.identifier.citation	Oleghe O, Salonitis K. (2020) A framework for designing data pipelines for manufacturing systems. Procedia CIRP, Volume 93, 2020, pp.724-729	en_UK
dc.identifier.issn	2212-8271
dc.identifier.uri	https://doi.org/10.1016/j.procir.2020.04.016
dc.identifier.uri	https://dspace.lib.cranfield.ac.uk/handle/1826/15845
dc.language.iso	en	en_UK
dc.publisher	Elsevier	en_UK
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	A framework for designing data pipelines for manufacturing systems	en_UK
dc.type	Article	en_UK

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