Monitoring and Control of Unstructured Manufacturing Big Data

Paper

Cui, Yesheng, Kara, Sami and Chan, Ka C.. 2021. "Monitoring and Control of Unstructured Manufacturing Big Data." IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2020). Marina Bay Sands, Singapore 14 - 17 Dec 2020 Piscataway, United States. https://doi.org/10.1109/IEEM45057.2020.9309975
Paper/Presentation Title

Monitoring and Control of Unstructured Manufacturing Big Data

Presentation TypePaper
AuthorsCui, Yesheng (Author), Kara, Sami (Author) and Chan, Ka C. (Author)
Journal or Proceedings Title2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
ERA Conference ID60320
Number of Pages5
Year2021
Place of PublicationPiscataway, United States
ISBN9781538672211
9781538672204
Digital Object Identifier (DOI)https://doi.org/10.1109/IEEM45057.2020.9309975
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/9309975
Conference/EventIEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2020)
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Event Details
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2020)
Event Date
14 to end of 17 Dec 2020
Event Location
Marina Bay Sands, Singapore
Event Details
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
IEEM
Abstract

Unstructured manufacturing big data silos are challenging for enabling various data-driven applications such as digital threads and digital twins in manufacturing. The management of big data silos requires to address the issues of large volume, data inconsistency, data redundancy, information silos and data security. This research developed a systematic approach to managing data silos using the state of art big data software. Applying this approach in the product life cycle can control data silos, data consistency, redundancy, timely update and enable the automatic workflow of each system.

KeywordsBig data, unstructured data, Industry 4.0
ANZSRC Field of Research 2020460503. Data models, storage and indexing
460912. Knowledge and information management
Byline AffiliationsUniversity of New South Wales
School of Management and Enterprise
Institution of OriginUniversity of Southern Queensland
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