Research Article Open Access

Big Data in Design and Manufacturing Engineering

Lidong Wang1 and Cheryl Ann Alexander2
  • 1 Mississippi Valley State University, United States
  • 2 Technology and Healthcare Solutions, Inc., United States
American Journal of Engineering and Applied Sciences
Volume 8 No. 2, 2015, 223-232

DOI: https://doi.org/10.3844/ajeassp.2015.223.232

Submitted On: 27 March 2015 Published On: 25 June 2015

How to Cite: 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

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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Keywords

  • Big Data
  • Design
  • Manufacturing
  • Sensors
  • Big Data Analytics
  • Machine Learning
  • Data Mining
  • Map Reduce Algorithm
  • Hadoop