Innovation and Supply Chain Management
Online ISSN : 2187-8684
Print ISSN : 2187-0969
ISSN-L : 2185-0135
Volume 14, Issue 3
vol14no3
Displaying 1-1 of 1 articles from this issue
vol14no3
  • Yuren Cao, Yanwen Dong
    Article type: research-article
    2020 Volume 14 Issue 3 Pages 31-36
    Published: September 30, 2020
    Released on J-STAGE: June 12, 2021
    JOURNAL FREE ACCESS

    Major studies on cell production have put the emphasis on technical factors such as machine order / layout,family part grouping, workŽow sequence, etc., it is still insu fficient to investigate how human factors affect the productivity of production cells. Although many companies have introduced cell production systems and realized that productivity of cells varies greatly with workers, there are no reports published on the statistical characteristics and distribution of workers' productivity. In order to assess the impact of workers' aptitude on productivity, we have made a series of experimental studies and questionnaire analyses. In this paper, we summarize the results of our production experiments conducted for four years, show statistical characteristics of workers' productivity, and then conduct cluster analysis to provide some insights to the workers' aptitude toward to cell production. Through these examinations, it is clear that 18.6% of workers have higher aptitude than the majority (53.1%), and there are 22.1% of workers with lower aptitude to cell production. Meanwhile, It can be considered that 6.2% of workers are not suitable to assembly tasks in cell production.

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