A framework for designing data pipelines for manufacturing systems
Date
2020-09-22
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Publisher
Elsevier
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Article
ISSN
2212-8271
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Citation
Oleghe O, Salonitis K. (2020) A framework for designing data pipelines for manufacturing systems. Procedia CIRP, Volume 93, 2020, pp.724-729
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
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International