High-performance computing based big data analytics for smart manufacturing

Yuhang Yang, Y. Dora Cai, Qiyue Lu, Yifang Zhang, Seid Koric, Chenhui Shao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 highperformance 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 highlighted. A case study for intelligent 3D sensing with real-world manufacturing data is presented to demonstrate the effectiveness of the proposed framework.

Original languageEnglish (US)
Title of host publicationManufacturing Equipment and Systems
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)9780791851371
DOIs
StatePublished - Jan 1 2018
EventASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018 - College Station, United States
Duration: Jun 18 2018Jun 22 2018

Publication series

NameASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
Volume3

Other

OtherASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018
CountryUnited States
CityCollege Station
Period6/18/186/22/18

Keywords

  • Big Data
  • Data Analytics
  • Dynamic Sampling Design
  • Genetic Algorithm
  • High-Performance Computing
  • Parallel Computing
  • Smart Manufacturing

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Yang, Y., Dora Cai, Y., Lu, Q., Zhang, Y., Koric, S., & Shao, C. (2018). High-performance computing based big data analytics for smart manufacturing. In Manufacturing Equipment and Systems (ASME 2018 13th International Manufacturing Science and Engineering Conference, MSEC 2018; Vol. 3). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/MSEC2018-6602