Relationship of relative humidity to productivity at a Malaysian electronics industry / Ahmad Rasdan Ismail ... [et al.]
The objective of this study is to determine the effects of humidity on the operators' productivity at Malaysian electronic industry. One electronic components assembly factory had been chosen as a subject for the study. The subjects were workers at the assembly section of the factory. The envir...
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Faculty of Mechanical Engineering and University Publication Centre (UPENA),
2008.
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042 | |a dc | ||
245 | 0 | 0 | |a Relationship of relative humidity to productivity at a Malaysian electronics industry / Ahmad Rasdan Ismail ... [et al.] |
260 | |b Faculty of Mechanical Engineering and University Publication Centre (UPENA), |c 2008. | ||
500 | |a https://ir.uitm.edu.my/id/eprint/17565/1/AJ_AHMAD%20RASDAN%20ISMAIL%20JME%2008.pdf | ||
520 | |a The objective of this study is to determine the effects of humidity on the operators' productivity at Malaysian electronic industry. One electronic components assembly factory had been chosen as a subject for the study. The subjects were workers at the assembly section of the factory. The environment examined was the relative humidity (%) of the surrounding workstation area. Two sets of representative data, the relative humidity (%) and production rate were collected during the study. The production rate data for certain sequence period of time were calculated while the relative humidity (%) was measured using BABUC equipment. The correlation and linear regression analysis were conducted in order to obtain the relationship between the effects of relative humidity (%) and the worker productivity. The results from the correlation analysis revealed that there is a linear relationship between the relative humidity (%) and productivity of the workers. The linear regression analysis further reveals that there is a linear equation model with positive slope to describe the relationship of relative humidity (%) and workers productivity for the assembly section involved. The linear regression line obtained is Y = 2.5863X - 28.896. | ||
546 | |a en | ||
655 | 7 | |a Article |2 local | |
655 | 7 | |a PeerReviewed |2 local | |
787 | 0 | |n https://ir.uitm.edu.my/id/eprint/17565/ | |
787 | 0 | |n https://jmeche.uitm.edu.my/ | |
856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/17565/ |z Link Metadata |