@article {10.3844/ajeassp.2015.223.232, article_type = {journal}, title = {Big Data in Design and Manufacturing Engineering}, author = {Wang, Lidong and Alexander, Cheryl Ann}, volume = {8}, number = {2}, year = {2015}, month = {Jun}, pages = {223-232}, doi = {10.3844/ajeassp.2015.223.232}, url = {https://thescipub.com/abstract/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.}, journal = {American Journal of Engineering and Applied Sciences}, publisher = {Science Publications} }