&lt;b&gt;Structural Equation Modelling of Human Factors and Their Impact On &lt;/b&gt;&lt;b&gt;Productivity of Cellular Manufacturing &lt;/b&gt;

Dong, Yanwen; Haraguchi, Harumi; Hao, Xiying

doi:10.14327/iscm.8.1

Cited by 9 publications

(2 citation statements)

References 13 publications

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“…In our previous studies [5], [6], we have shown that both the experience (learning effect) and workers have significant impacts on the productivity of production cells, the impact of the experience and workers on the productivity of production cells account for 19.63% and 67.01% of the total variance in assembly times respectively. As two-thirds of variance of the assembly times were decided by workers, the aptitude or ability of workers has a stronger impact than the experience.…”

Section: Introductionmentioning

confidence: 99%

Definition and Verification of Workers' Aptitude Toward Assembly Tasks in Production Cells

Dong

Sato

Kumar

et al. 2016

iscm

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: Major studies on cell production have put the emphasis on technical factors (machine order/layout, family part grouping, workflow sequence, etc.), it is still insufficient to investigate how workers' aptitude affect the productivity of production cells. As the first attempt to examine the workers' aptitude toward the assembly tasks in production cells, we make a comparatively detailed literature review on the major theories and assessment measures developed in the field of industrial and organizational psychology. Then we give the definition of four aptitudes and related hypotheses from the aspects of workers' cognition and interest, finger dexterity, affection, and behavioral intention. We design a self-evaluation sheet to measure the workers' aptitudes, and moreover design a cell production experiment to investigate the relation between the workers' aptitudes and productivity of production cells. Through our experimental study, we verified statistically that the workers' cognition and interest, negative affection correlate significantly to the productivity of production cells. However, there are still some issues to be addressed further in order to measure the workers' aptitudes through the self-evaluation sheet.

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Section: Introductionmentioning

confidence: 99%

Definition and Verification of Workers' Aptitude Toward Assembly Tasks in Production Cells

Dong

Sato

Kumar

et al. 2016

iscm

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“…They emphasized that most of the problems faced by companies implementing cells were related to people, not technical issues. In our previous studies [5]- [6], it has been clarified that both the experience (learning effect) and workers have significant impacts on the productivity of production cells, the impact of the experience and workers on the productivity of production cells are 19.63% and 67.01% respectively. As two-thirds of variance of the assembly times was decided by workers, the aptitude or ability of workers has a stronger impact than the experience.…”

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confidence: 99%

Identifying Factors Reflecting Workers’ Aptitude toward Assembly Tasks in Production Cells

Dong¹

2017

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Although major studies on cell production have put the emphasis on technical factors such as machine order/layout, family part grouping, workflow sequence, etc., it has been found that for successful implementation of cell production systems, some human issues should be treated seriously. One of these issues is that productivity of production cells depend largely on workers and therefore it is important to consider how to measure workers' aptitude and investigate how workers' aptitude affect the productivity of production cells. In this paper, we make an experimental study to identify factors influencing workers' aptitude toward assembly tasks and productivity in production cells. Our study is different from researches reported so far in that we carry out a laboratory experiment of cell production to measure the productivity of the workers in production cells. Meanwhile we designed a selfevaluation sheet to measure the workers' aptitude from three viewpoints: growth-need strength, self-efficacy and core self-evaluation. It was clarified that only one factor: growth-need strength has significant relations to productivity of the production cells, and there are some issues to be dealt further.  Index Terms-cell production, cellular manufacturing, growth-need strength, self-efficacy, workers' aptitude I. INTRODUCTION Cellular manufacturing, often called cell production in Japan, arranges factory floor labor into semi-autonomous and multi-skilled teams, or work cells, who manufacture complete products or complex components. Properly trained and implemented cells are more flexible and responsive than the traditional mass-production line. Cell production has become an integral part of lean manufacturing systems; many organizations have applied cell production concepts in manufacturing and service processes. The effects of cell production are including reduction in setup time, cycle time, tooling requirements and material handling. Furthermore, implementation of cell production has been shown to achieve significant improvements in product quality, scheduling, space utilization, control of operations and employee morale [1]. Over the past 30 years, many manufacturing companies are adopting a cellular manufacturing approach in an attempt to improve their competitiveness. Meanwhile, many researchers have paid a lot of attention to cell production system design problems, such as the

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Experimental Study and Statistical Analysis of Human Factors’ Impact in Cell Production System

Dong

Hao

2016

Lecture Notes in Economics and Mathematical Systems

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<b>Structural Equation Modelling of Human Factors and Their Impact On </b><b>Productivity of Cellular Manufacturing </b>

Cited by 9 publications

References 13 publications

Definition and Verification of Workers' Aptitude Toward Assembly Tasks in Production Cells

Definition and Verification of Workers' Aptitude Toward Assembly Tasks in Production Cells

Identifying Factors Reflecting Workers’ Aptitude toward Assembly Tasks in Production Cells

Experimental Study and Statistical Analysis of Human Factors’ Impact in Cell Production System

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