Big Data in Design and Manufacturing Engineering
- 1 Mississippi Valley State University, United States
- 2 Technology and Healthcare Solutions, Inc., United States
Copyright: © 2020 Lidong Wang and Cheryl Ann Alexander. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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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- Big Data
- Big Data Analytics
- Machine Learning
- Data Mining
- Map Reduce Algorithm