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An Analytic Approach for Workers’ Fatigue Examination Using RFID-Enabled Production Data

In: Liss 2020

Author

Listed:
  • Yishu Yang

    (The University of Hong Kong)

  • Ray Y. Zhong

    (The University of Hong Kong)

Abstract

With the advantages of long-distance contactless identification and data storage capacity, the use of radio frequency identification (RFID) technology in the fields of manufacturing, transportation and logistics has been widely reported. Fatigue of workers plays a critical role in impacting the manufacturing efficiency because it reduces productivity and increases accident rates. Therefore, the workers’ fatigue must be well examined and addressed. This paper thus proposes an analytic approach to use RFID captured production data and builds an effective method for mining the structural insight to predict the fatigue trajectory in workplace from a huge number of RFID data which may be full of inaccurate, incomplete and missing records. In this research, realistic processing time is used to measure the workers’ fatigue. Based on a general framework for the fatigue examination, the proposed approach is able to estimate the employees’ fatigue trajectory within designated period of time using RFID-enabled production data. Different genders and shifts are considered to find the key impact factors on fatigue.

Suggested Citation

  • Yishu Yang & Ray Y. Zhong, 2021. "An Analytic Approach for Workers’ Fatigue Examination Using RFID-Enabled Production Data," Springer Books, in: Shifeng Liu & Gábor Bohács & Xianliang Shi & Xiaopu Shang & Anqiang Huang (ed.), Liss 2020, pages 119-132, Springer.
    • Handle: RePEc:spr:sprchp:978-981-33-4359-7_9
    DOI: 10.1007/978-981-33-4359-7_9
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