Real-time data-driven monitoring in job-shop floor based on radio frequency identification

Real-time data-driven monitoring in job-shop floor based on radio frequency identification Real-time manufacturing data plays more and more important roles in today’s competitive manufacturing industry; however, many enterprises are still troubled by the lack of this timely, accurate, and consistent manufacturing data as there are no effective data collecting and process methods. The hysteretic and unmatched information flows lead to great opacity and uncertainty for production management. This paper thereby proposes a comprehensive real-time data-driven monitoring method in job-shop floor based on radio frequency identification (RFID) technology to address these issues. Firstly, a RFID configuration strategy is put forward including both RFID tag and device configuration schemas. The essence of RFID applications in job-shop floor is revealed too. Next, different levels of data collecting and monitoring models are established one by one, from single RFID reader level to process and process flow levels, wherein different types of state blocks are deployed to a decomposed process/process flow, generating a series of continuous event-driven data collecting units (EDCUs), which not only specify how to collect real-time on-site data but also point out what data should be collected. Then, three data processing methods are presented for different situations such as data preprocessing, fusion, and exception handling. Finally, a use case of a typical part is studied based on a prototype system which demonstrates how to use the proposed models and methods to monitor the production process of the part in job-shop floor and shows their feasibility simultaneously. The International Journal of Advanced Manufacturing Technology Springer Journals

Real-time data-driven monitoring in job-shop floor based on radio frequency identification

Loading next page...
Springer London
Copyright © 2017 by Springer-Verlag London
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
Publisher site
See Article on Publisher Site


You’re reading a free preview. Subscribe to read the entire article.

DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches


Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.



billed annually
Start Free Trial

14-day Free Trial