Big Data in Design and Manufacturing Engineering
Lidong Wang1 & Cheryl Ann Alexander2 Show affiliations
- Mississippi Valley State University, United States
- Technology and Healthcare Solutions, Inc., United States
American Journal of Engineering and Applied Sciences, Volume 8, Issue 2, pp. 223–232 · doi.org/10.3844/ajeassp.2015.223.232
Abstract
Big Data helps facilitate information visibility and process automation in design and manufacturing engineering. It also helps analyze trends through analytics and predict inventory, manufacturing output and equipment lifespan and cycles, etc. This paper introduces Big Data, its characteristics and a number of issues of Big Data in design and manufacturing engineering. These issues include design and manufacturing data, Big Data benefits and impacts and its applications and opportunities. Methods, technologies and some technology progress around Big Data are presented in this study. General challenges of Big Data and Big Data challenges in design and manufacturing engineering are also discussed.
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Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
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About this article
Wang, L. & Alexander, C. A. (2015). Big Data in Design and Manufacturing Engineering. American Journal of Engineering and Applied Sciences, 8(2), 223–232. https://doi.org/10.3844/ajeassp.2015.223.232
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