Using noisy RFID for accurately monitoring the assembly line of panel fabrication

Authors

  • Y. Wen Civil & Environmental Engineering, University of Alberta, Edmonton, Canada T6G 2G7
  • D. Ogunyemi Civil & Environmental Engineering, University of Alberta, Edmonton, Canada T6G 2G7
  • A. S. Bouferguene Civil & Environmental Engineering, University of Alberta, Edmonton, Canada T6G 2G7
  • M. S. Altaf Civil & Environmental Engineering, University of Alberta, Edmonton, Canada T6G 2G7
  • A. Bouferguene Civil & Environmental Engineering, University of Alberta, Edmonton, Canada T6G 2G7
  • M. Al-Hussein Civil & Environmental Engineering, University of Alberta, Edmonton, Canada T6G 2G7

DOI:

https://doi.org/10.29173/mocs65

Keywords:

Panel manufacturing, Assembly line, Data clustering, Model mining

Abstract

Over the past few years, the interest towards off-site construction as part of project delivery for residential and commercial buildings has increased dramatically. In this regard, buildings are decomposed into panels that are manufactured using assembly lines smilar to what was developped to the automotive industry. However, because these serial production systems do not have buffers that could store intermediate products when a bottleneck occurs downstream, it often happens that these products are required to wait at the current workstation before production can resume. In this contribution, we develop algorithms allowing the waiting times to be extracted from timestamps that are collected from an RFID system reading the tags on panels as they enter each workstation.

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Published

2017-11-10

Issue

Section

Proceedings