Skip to main navigation Skip to search Skip to main content

Effects of Different Proficiency Levels on the Assembly Operation Time Distribution

  • Xuanzhu Wan
  • , Deyu Sun
  • , Jingfei Wang
  • , Xiaonan Yang*
  • , Chengshun Li
  • , Hongwei Niu
  • *Corresponding author for this work
  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Due to the phenomenon of the expertise reversal effect, different teaching strategies may have opposite effects on novice and expert learners. Therefore, it is necessary to consider providing differential guidance information based on the operator's proficiency level. This study aimed to investigate the impact of operator proficiency levels on the distribution of assembly operation times in manual assembly tasks. A continuous assembly experiment was designed to collect assembly time distribution data from operators with different proficiency levels. Results indicated that operators of different proficiency levels significantly affected the time distribution of assembly stages and the frequency of errors. As proficiency increased, the time taken for each operational stage decreased gradually, accompanied by a reduction in error occurrences. By analyzing these time distribution data, important references can be provided for the future construction of a proficiency grading system, which can in turn lay the foundation for the design of a differential assistance assembly system based on user proficiency.

Original languageEnglish
Title of host publicationSpringer Series in Design and Innovation
PublisherSpringer Nature
Pages433-438
Number of pages6
DOIs
Publication statusPublished - 2025

Publication series

NameSpringer Series in Design and Innovation
Volume57
ISSN (Print)2661-8184
ISSN (Electronic)2661-8192

Keywords

  • Manual assembly
  • Operation time distribution
  • Proficiency level

Fingerprint

Dive into the research topics of 'Effects of Different Proficiency Levels on the Assembly Operation Time Distribution'. Together they form a unique fingerprint.

Cite this