With the rapid development of sensing, communication, and computing technologies and infrastructure, today’s manufacturing industry is marching towards a big data era and a new generation of digitalization and intelligence. The availability of big data provides us with a golden opportunity to promote smart manufacturing. Nevertheless, the deployment and popularization of big data analytics in manufacturing is still at its nascent stage. One critical challenge results from the lack of high-performance computing (HPC) capability, which is crucial for responsive and intelligent decision-making in the modern manufacturing industry. To address this challenge, this paper proposes a framework and some general guidelines for implementing big data analytics in an HPC environment. The details of the whole workflow, from the prototype to the final application, are high-lighted. A case study for intelligent 3D sensing with real-world manufacturing data is presented to demonstrate the effectiveness of the proposed framework.
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ASME 2018 13th International Manufacturing Science and Engineering Conference
June 18–22, 2018
College Station, Texas, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-5137-1
PROCEEDINGS PAPER
High-Performance Computing Based Big Data Analytics for Smart Manufacturing
Yuhang Yang,
Yuhang Yang
University of Illinois at Urbana-Champaign, Urbana, IL
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Y. Dora Cai,
Y. Dora Cai
University of Illinois at Urbana-Champaign, Urbana, IL
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Qiyue Lu,
Qiyue Lu
University of Illinois at Urbana-Champaign, Urbana, IL
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Yifang Zhang,
Yifang Zhang
University of Illinois at Urbana-Champaign, Urbana, IL
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Seid Koric,
Seid Koric
University of Illinois at Urbana-Champaign, Urbana, IL
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Chenhui Shao
Chenhui Shao
University of Illinois at Urbana-Champaign, Urbana, IL
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Yuhang Yang
University of Illinois at Urbana-Champaign, Urbana, IL
Y. Dora Cai
University of Illinois at Urbana-Champaign, Urbana, IL
Qiyue Lu
University of Illinois at Urbana-Champaign, Urbana, IL
Yifang Zhang
University of Illinois at Urbana-Champaign, Urbana, IL
Seid Koric
University of Illinois at Urbana-Champaign, Urbana, IL
Chenhui Shao
University of Illinois at Urbana-Champaign, Urbana, IL
Paper No:
MSEC2018-6602, V003T02A013; 8 pages
Published Online:
September 24, 2018
Citation
Yang, Y, Cai, YD, Lu, Q, Zhang, Y, Koric, S, & Shao, C. "High-Performance Computing Based Big Data Analytics for Smart Manufacturing." Proceedings of the ASME 2018 13th International Manufacturing Science and Engineering Conference. Volume 3: Manufacturing Equipment and Systems. College Station, Texas, USA. June 18–22, 2018. V003T02A013. ASME. https://doi.org/10.1115/MSEC2018-6602
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