RFID-based task time analysis for shop floor optimization

Daniel Leitold, Agnes Vathy-Fogarassy, Kristof Varga, J. Abonyi

Research output: Conference contribution

1 Citation (Scopus)

Abstract

According to the concept of Industry 4.0, shop floor control and optimization should be more and more autonomous and integrated. In the age of digital transformation, human operators are still applied in manufacturing processes, so the uncertainty of their tasks times cannot be ignored during scheduling and line balancing. To provide accurate and real-time information about the operators, we propose an RFID-based task time analysis system. We demonstrate that the empirical density distribution functions of the tasks times can be convolved to generate stochastic model-based optimal solutions of simple assembly line balancing (SALPB) and bin-packing (BP) based scheduling problems.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2018-January
ISBN (Electronic)9781538612088
DOIs
Publication statusPublished - márc. 26 2018
Event2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018 - Eger, Hungary
Duration: jan. 18 2018jan. 19 2018

Other

Other2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018
CountryHungary
CityEger
Period1/18/181/19/18

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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  • Cite this

    Leitold, D., Vathy-Fogarassy, A., Varga, K., & Abonyi, J. (2018). RFID-based task time analysis for shop floor optimization. In 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018 (Vol. 2018-January, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FIOT.2018.8325587