Optimizing humidity level and illuminance to enhance worker performance in an automotive industry

A. R. Ismail, M. Y M Yusof, Kamaruzzaman Sopian, M. R A Rani, Zafir Khan Mohamed Makhbul, N. K. Makhtar

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The objective of this study is to determine the optimum values of environmental factors such as relative humidity (%) and illuminance (lux), on the operators' productivity at Malaysian automotive industry. Production of automotive parts is among the largest contributor to economic earnings in Malaysia. The dominant work involve in producing automotive part were manual assembly process. Where it is definitely used a manpower capability. Thus, the quality of the product heavily depends on worker's comfort in the working condition. Humidity and illuminance level can give significant effect on the worker performance. Humidity level, illuminance level and productivity rate were observed in automotive factory. An automotive manufacturing firm was chosen to observe the relative humidity level, illuminance level and worker's productivity rate. The data were analyzed using Artificial Neural Network's (ANN) analysis. Artificial Neural Network's (ANN) analysis technique is usual analysis method used to form the best linear relationship from the collected data. It is apparent from the linear relationship, that is the optimum value of production (value~l) is attained when relative humidity is 54.86% RH and lighting value is 146.386 lux. Optimum value production rate (value!) for one manual production line in that particular company is successfully achieved. Through ANN's system, optimum environmental factor manage to be predicted.

Original languageEnglish
Pages (from-to)1389-1396
Number of pages8
JournalJournal of Applied Sciences
Volume10
Issue number14
Publication statusPublished - 2010

Fingerprint

Automotive industry
Atmospheric humidity
Productivity
Electric network analysis
Neural networks
Industrial plants
Lighting
Economics
Industry

Keywords

  • Humidity
  • Illuminance
  • Optimum
  • Productivity

ASJC Scopus subject areas

  • General

Cite this

Optimizing humidity level and illuminance to enhance worker performance in an automotive industry. / Ismail, A. R.; Yusof, M. Y M; Sopian, Kamaruzzaman; Rani, M. R A; Mohamed Makhbul, Zafir Khan; Makhtar, N. K.

In: Journal of Applied Sciences, Vol. 10, No. 14, 2010, p. 1389-1396.

Research output: Contribution to journalArticle

@article{f503a1c8189348fa941dbc35da0535a6,
title = "Optimizing humidity level and illuminance to enhance worker performance in an automotive industry",
abstract = "The objective of this study is to determine the optimum values of environmental factors such as relative humidity ({\%}) and illuminance (lux), on the operators' productivity at Malaysian automotive industry. Production of automotive parts is among the largest contributor to economic earnings in Malaysia. The dominant work involve in producing automotive part were manual assembly process. Where it is definitely used a manpower capability. Thus, the quality of the product heavily depends on worker's comfort in the working condition. Humidity and illuminance level can give significant effect on the worker performance. Humidity level, illuminance level and productivity rate were observed in automotive factory. An automotive manufacturing firm was chosen to observe the relative humidity level, illuminance level and worker's productivity rate. The data were analyzed using Artificial Neural Network's (ANN) analysis. Artificial Neural Network's (ANN) analysis technique is usual analysis method used to form the best linear relationship from the collected data. It is apparent from the linear relationship, that is the optimum value of production (value~l) is attained when relative humidity is 54.86{\%} RH and lighting value is 146.386 lux. Optimum value production rate (value!) for one manual production line in that particular company is successfully achieved. Through ANN's system, optimum environmental factor manage to be predicted.",
keywords = "Humidity, Illuminance, Optimum, Productivity",
author = "Ismail, {A. R.} and Yusof, {M. Y M} and Kamaruzzaman Sopian and Rani, {M. R A} and {Mohamed Makhbul}, {Zafir Khan} and Makhtar, {N. K.}",
year = "2010",
language = "English",
volume = "10",
pages = "1389--1396",
journal = "Journal of Applied Sciences",
issn = "1812-5654",
publisher = "Asian Network for Scientific Information",
number = "14",

}

TY - JOUR

T1 - Optimizing humidity level and illuminance to enhance worker performance in an automotive industry

AU - Ismail, A. R.

AU - Yusof, M. Y M

AU - Sopian, Kamaruzzaman

AU - Rani, M. R A

AU - Mohamed Makhbul, Zafir Khan

AU - Makhtar, N. K.

PY - 2010

Y1 - 2010

N2 - The objective of this study is to determine the optimum values of environmental factors such as relative humidity (%) and illuminance (lux), on the operators' productivity at Malaysian automotive industry. Production of automotive parts is among the largest contributor to economic earnings in Malaysia. The dominant work involve in producing automotive part were manual assembly process. Where it is definitely used a manpower capability. Thus, the quality of the product heavily depends on worker's comfort in the working condition. Humidity and illuminance level can give significant effect on the worker performance. Humidity level, illuminance level and productivity rate were observed in automotive factory. An automotive manufacturing firm was chosen to observe the relative humidity level, illuminance level and worker's productivity rate. The data were analyzed using Artificial Neural Network's (ANN) analysis. Artificial Neural Network's (ANN) analysis technique is usual analysis method used to form the best linear relationship from the collected data. It is apparent from the linear relationship, that is the optimum value of production (value~l) is attained when relative humidity is 54.86% RH and lighting value is 146.386 lux. Optimum value production rate (value!) for one manual production line in that particular company is successfully achieved. Through ANN's system, optimum environmental factor manage to be predicted.

AB - The objective of this study is to determine the optimum values of environmental factors such as relative humidity (%) and illuminance (lux), on the operators' productivity at Malaysian automotive industry. Production of automotive parts is among the largest contributor to economic earnings in Malaysia. The dominant work involve in producing automotive part were manual assembly process. Where it is definitely used a manpower capability. Thus, the quality of the product heavily depends on worker's comfort in the working condition. Humidity and illuminance level can give significant effect on the worker performance. Humidity level, illuminance level and productivity rate were observed in automotive factory. An automotive manufacturing firm was chosen to observe the relative humidity level, illuminance level and worker's productivity rate. The data were analyzed using Artificial Neural Network's (ANN) analysis. Artificial Neural Network's (ANN) analysis technique is usual analysis method used to form the best linear relationship from the collected data. It is apparent from the linear relationship, that is the optimum value of production (value~l) is attained when relative humidity is 54.86% RH and lighting value is 146.386 lux. Optimum value production rate (value!) for one manual production line in that particular company is successfully achieved. Through ANN's system, optimum environmental factor manage to be predicted.

KW - Humidity

KW - Illuminance

KW - Optimum

KW - Productivity

UR - http://www.scopus.com/inward/record.url?scp=77953795146&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953795146&partnerID=8YFLogxK

M3 - Article

VL - 10

SP - 1389

EP - 1396

JO - Journal of Applied Sciences

JF - Journal of Applied Sciences

SN - 1812-5654

IS - 14

ER -