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Effect of temperature, humidity and illuminance towards worker’s performance in automotive industry

Working environmental conditions in automotive industry are very challenging to the human workers. Meanwhile, products quality is very much dependent on workers’ health, safety and comfort in their working environment. Environmental factors, such as temperature, illuminance and humidity levels have...

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Main Authors: Mohd Yusri Mohd Yusof,, Baba Md. Deros,, Ahmad Rasdan Ismail,
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2013
Online Access:http://journalarticle.ukm.my/6696/1/20_Mohd_Yusri_Mohd_Yusof.pdf
http://journalarticle.ukm.my/6696/
http://www.ukm.my/jsm/
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spelling my-ukm.journal.66962016-12-14T06:41:56Z http://journalarticle.ukm.my/6696/ Effect of temperature, humidity and illuminance towards worker’s performance in automotive industry Mohd Yusri Mohd Yusof, Baba Md. Deros, Ahmad Rasdan Ismail, Working environmental conditions in automotive industry are very challenging to the human workers. Meanwhile, products quality is very much dependent on workers’ health, safety and comfort in their working environment. Environmental factors, such as temperature, illuminance and humidity levels have significant effect on workers’ performance at the production line. In this experiment, temperature, humidity, illuminance levels and productivity rate were observed in a control room. An automotive manufacturing firm production line was chosen to be simulated in the control room to observe the temperature, relative humidity, illuminance and worker’s productivity rate. The experimental data collected was analyzed using Response Surface Method (RSM). RSM is an analysis technique, which combined statistical systems and mathematical methods. It can be applied for research and development, reform and optimize a process, which involves several design variables. As a result, the combined effect of temperature, illuminance and humidity toward productivity can be clearly seen. Optimum environmental factor cannot be predicted using first order RSM analysis because it gives low reliability for obtaining the optimum level. Thus, a second order RSM analysis was generated for obtaining the optimum level of environmental factors. Universiti Kebangsaan Malaysia 2013-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/6696/1/20_Mohd_Yusri_Mohd_Yusof.pdf Mohd Yusri Mohd Yusof, and Baba Md. Deros, and Ahmad Rasdan Ismail, (2013) Effect of temperature, humidity and illuminance towards worker’s performance in automotive industry. Sains Malaysiana, 42 (12). pp. 1815-1818. ISSN 0126-6039 http://www.ukm.my/jsm/
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Working environmental conditions in automotive industry are very challenging to the human workers. Meanwhile, products quality is very much dependent on workers’ health, safety and comfort in their working environment. Environmental factors, such as temperature, illuminance and humidity levels have significant effect on workers’ performance at the production line. In this experiment, temperature, humidity, illuminance levels and productivity rate were observed in a control room. An automotive manufacturing firm production line was chosen to be simulated in the control room to observe the temperature, relative humidity, illuminance and worker’s productivity rate. The experimental data collected was analyzed using Response Surface Method (RSM). RSM is an analysis technique, which combined statistical systems and mathematical methods. It can be applied for research and development, reform and optimize a process, which involves several design variables. As a result, the combined effect of temperature, illuminance and humidity toward productivity can be clearly seen. Optimum environmental factor cannot be predicted using first order RSM analysis because it gives low reliability for obtaining the optimum level. Thus, a second order RSM analysis was generated for obtaining the optimum level of environmental factors.
format Article
author Mohd Yusri Mohd Yusof,
Baba Md. Deros,
Ahmad Rasdan Ismail,
spellingShingle Mohd Yusri Mohd Yusof,
Baba Md. Deros,
Ahmad Rasdan Ismail,
Effect of temperature, humidity and illuminance towards worker’s performance in automotive industry
author_facet Mohd Yusri Mohd Yusof,
Baba Md. Deros,
Ahmad Rasdan Ismail,
author_sort Mohd Yusri Mohd Yusof,
title Effect of temperature, humidity and illuminance towards worker’s performance in automotive industry
title_short Effect of temperature, humidity and illuminance towards worker’s performance in automotive industry
title_full Effect of temperature, humidity and illuminance towards worker’s performance in automotive industry
title_fullStr Effect of temperature, humidity and illuminance towards worker’s performance in automotive industry
title_full_unstemmed Effect of temperature, humidity and illuminance towards worker’s performance in automotive industry
title_sort effect of temperature, humidity and illuminance towards worker’s performance in automotive industry
publisher Universiti Kebangsaan Malaysia
publishDate 2013
url http://journalarticle.ukm.my/6696/1/20_Mohd_Yusri_Mohd_Yusof.pdf
http://journalarticle.ukm.my/6696/
http://www.ukm.my/jsm/
_version_ 1643736859335983104
score 13.211869

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